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+{"cells":[{"cell_type":"markdown","metadata":{"id":"tl0CJd7MFoad"},"source":["# Neccessary Setup\n","\n","This part of the code can be changed as per the environment we are working on, this traing was done completely on google collab except the finetuning and final testing."]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":101020,"status":"ok","timestamp":1725370985084,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"01cb-HNbZiUu","outputId":"6a84dc7e-8a58-4f33-fbdd-e6143458ecb9"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1725370985085,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"fJP0iLV-ZZG4","outputId":"7938e087-8e3e-4132-d507-5b0323c967b2"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/Cart_Pole_problem\n"]}],"source":["# prompt: Go to the path Cart_Pole_problem\n","\n","%cd /content/drive/MyDrive/Cart_Pole_problem\n"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aF7BSs3hp7mp","outputId":"1144d524-fa3a-4864-e8ee-8145848b38cc","executionInfo":{"status":"ok","timestamp":1725371000799,"user_tz":-330,"elapsed":15717,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: gym in /usr/local/lib/python3.10/dist-packages (0.25.2)\n","Collecting gym\n","  Downloading gym-0.26.2.tar.gz (721 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m721.7/721.7 kB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n","  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n","  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: numpy>=1.18.0 in /usr/local/lib/python3.10/dist-packages (from gym) (1.26.4)\n","Requirement already satisfied: cloudpickle>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from gym) (2.2.1)\n","Requirement already satisfied: gym-notices>=0.0.4 in /usr/local/lib/python3.10/dist-packages (from gym) (0.0.8)\n","Building wheels for collected packages: gym\n","  Building wheel for gym (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for gym: filename=gym-0.26.2-py3-none-any.whl size=827618 sha256=6442734afea5fbed0c81167526afc37462a2f4b81139b49d1ad59958964d6096\n","  Stored in directory: /root/.cache/pip/wheels/b9/22/6d/3e7b32d98451b4cd9d12417052affbeeeea012955d437da1da\n","Successfully built gym\n","Installing collected packages: gym\n","  Attempting uninstall: gym\n","    Found existing installation: gym 0.25.2\n","    Uninstalling gym-0.25.2:\n","      Successfully uninstalled gym-0.25.2\n","\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n","dopamine-rl 4.0.9 requires gym<=0.25.2, but you have gym 0.26.2 which is incompatible.\u001b[0m\u001b[31m\n","\u001b[0mSuccessfully installed gym-0.26.2\n","Collecting scikit-optimize\n","  Downloading scikit_optimize-0.10.2-py2.py3-none-any.whl.metadata (9.7 kB)\n","Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.10/dist-packages (from scikit-optimize) (1.4.2)\n","Collecting pyaml>=16.9 (from scikit-optimize)\n","  Downloading pyaml-24.7.0-py3-none-any.whl.metadata (11 kB)\n","Requirement already satisfied: numpy>=1.20.3 in /usr/local/lib/python3.10/dist-packages (from scikit-optimize) (1.26.4)\n","Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-optimize) (1.13.1)\n","Requirement already satisfied: scikit-learn>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-optimize) (1.3.2)\n","Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.10/dist-packages (from scikit-optimize) (24.1)\n","Requirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from pyaml>=16.9->scikit-optimize) (6.0.2)\n","Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0.0->scikit-optimize) (3.5.0)\n","Downloading scikit_optimize-0.10.2-py2.py3-none-any.whl (107 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m107.8/107.8 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hDownloading pyaml-24.7.0-py3-none-any.whl (24 kB)\n","Installing collected packages: pyaml, scikit-optimize\n","Successfully installed pyaml-24.7.0 scikit-optimize-0.10.2\n"]}],"source":["!pip install --upgrade gym\n","!pip install scikit-optimize"]},{"cell_type":"markdown","metadata":{"id":"SA5Qopq8GDMk"},"source":["# Prerequisites\n","\n","Includes the files that need to be imported to run this main file"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"5LzNSsYwjXWa","executionInfo":{"status":"ok","timestamp":1725357022069,"user_tz":-330,"elapsed":15790,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"}}},"outputs":[],"source":["import gym\n","from gym_wrapper import GymWrapper\n","from hardware_interface import HardwareInterface\n","from control_algorithm import QLearningControl, SarsaControl, DQNControl\n","from data_logger import DataLogger\n","import config\n","import matplotlib.pyplot as plt\n","import numpy as np\n","from exploration_strategies import EpsilonGreedyStrategy, SoftmaxStrategy\n","\n","from hyperparameter_tuning import tune_hyperparameters_qlearning, tune_hyperparameters_sarsa\n","from hyperparameter_tuning import tune_hyperparameters_dqn\n","from cross_validation import train_dqn\n","from cross_validation import run_cross_validation_or_training"]},{"cell_type":"markdown","metadata":{"id":"4pn4nawRHDxe"},"source":["# Selecting Model\n","\n","In this section we can choose which model we need to work with"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"MdFCaN-fHPKE","executionInfo":{"status":"ok","timestamp":1725357022071,"user_tz":-330,"elapsed":14,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"}}},"outputs":[],"source":["##   We can comment or activate the model lines we need\n","\n","\n","model='dqn'\n","#model='qlearning'\n","#model='sarsa'"]},{"cell_type":"markdown","metadata":{"id":"DZ5xOWWwGctX"},"source":["# Hyperparameter Tuning\n","\n","This section is to be used for the initial hyperparameter tuning for the bets initial hyoeroarameters."]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":464},"collapsed":true,"id":"gKbH-igzjdqt","executionInfo":{"status":"error","timestamp":1725350154963,"user_tz":-330,"elapsed":1039677,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"}},"outputId":"abedf6c0-dda6-45cf-dc69-247613d82959"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n","  if not isinstance(terminated, (bool, np.bool8)):\n"]},{"output_type":"error","ename":"KeyboardInterrupt","evalue":"","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-9-d2ed05b1534c>\u001b[0m in \u001b[0;36m<cell line: 21>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[0;31m# Perform hyperparameter tuning\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m \u001b[0mtuning_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontrol_class\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mEpsilonGreedyStrategy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m \u001b[0;31m# Initialize environment\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/content/drive/MyDrive/Cart_Pole_problem/hyperparameter_tuning.py\u001b[0m in \u001b[0;36mtune_hyperparameters_dqn\u001b[0;34m(model_class, exploration_strategy_class, config)\u001b[0m\n\u001b[1;32m    136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    137\u001b[0m     \u001b[0;31m# Run Bayesian optimization\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 138\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgp_minimize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobjective\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_calls\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Optimization result:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/skopt/optimizer/gp.py\u001b[0m in \u001b[0;36mgp_minimize\u001b[0;34m(func, dimensions, base_estimator, n_calls, n_random_starts, n_initial_points, initial_point_generator, acq_func, acq_optimizer, x0, y0, random_state, verbose, callback, n_points, n_restarts_optimizer, xi, kappa, noise, n_jobs, model_queue_size, space_constraint)\u001b[0m\n\u001b[1;32m    279\u001b[0m         )\n\u001b[1;32m    280\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 281\u001b[0;31m     return base_minimize(\n\u001b[0m\u001b[1;32m    282\u001b[0m         \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    283\u001b[0m         \u001b[0mspace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/skopt/optimizer/base.py\u001b[0m in \u001b[0;36mbase_minimize\u001b[0;34m(func, dimensions, base_estimator, n_calls, n_random_starts, n_initial_points, initial_point_generator, acq_func, acq_optimizer, x0, y0, random_state, verbose, callback, n_points, n_restarts_optimizer, xi, kappa, n_jobs, model_queue_size, space_constraint)\u001b[0m\n\u001b[1;32m    330\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_calls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    331\u001b[0m         \u001b[0mnext_x\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 332\u001b[0;31m         \u001b[0mnext_y\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext_x\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    333\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtell\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnext_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnext_y\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    334\u001b[0m         \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspecs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mspecs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/skopt/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    777\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;31m# Call the wrapped objective function with the named arguments.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m             \u001b[0mobjective_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0marg_dict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m             \u001b[0;32mreturn\u001b[0m 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\u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m                 \u001b[0mcontroller\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreward\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnext_state\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    128\u001b[0m                 \u001b[0mstate\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnext_state\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m                 \u001b[0mepisode_reward\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mreward\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/content/drive/MyDrive/Cart_Pole_problem/control_algorithm.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, state, action, reward, next_state, done)\u001b[0m\n\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m         \u001b[0;31m# Compute loss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 116\u001b[0;31m         \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcriterion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcurrent_q_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_q_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    117\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    118\u001b[0m         \u001b[0;31m# Perform gradient descent\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1547\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1548\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1549\u001b[0;31m     \u001b[0;32mdef\u001b[0m \u001b[0m_wrapped_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1550\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compiled_call_impl\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1551\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compiled_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[misc]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}],"source":["model_map = {\n","    'dqn': {\n","        'control_class': DQNControl,\n","        'tuning_function': tune_hyperparameters_dqn\n","    },\n","    'qlearning': {\n","        'control_class': QLearningControl,\n","        'tuning_function': tune_hyperparameters_qlearning\n","    },\n","    'sarsa': {\n","        'control_class': SarsaControl,\n","        'tuning_function': tune_hyperparameters_sarsa\n","    }\n","}\n","\n","# Get the control class and tuning function for the selected model\n","control_class = model_map[model]['control_class']\n","tuning_function = model_map[model]['tuning_function']\n","\n","# Perform hyperparameter tuning\n","tuning_function(control_class, EpsilonGreedyStrategy, config)\n","\n","# Initialize environment\n","use_hardware = False  # Set to True when using physical hardware\n","\n","if use_hardware:\n","    env = HardwareInterface(config.HARDWARE_PARAMS)\n","else:\n","    env = GymWrapper(gym.make('CartPole-v1'))\n","\n","# Initialize exploration strategy\n","exploration_strategy = EpsilonGreedyStrategy(epsilon=config.CONTROL_PARAMS['epsilon'])\n","\n","# Initialize the controller using the selected model's control class\n","controller = control_class(config.CONTROL_PARAMS, exploration_strategy)"]},{"cell_type":"markdown","metadata":{"id":"MjO8dhrPHtFR"},"source":["# Training the model\n","This section is to be used for training and saving the model and displaying outputs for Sarsa and QLearning only"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":392557,"status":"ok","timestamp":1725357414616,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"L_zJrIydsosJ","outputId":"dfde2f07-f3e7-4b46-e092-f8a645fdddab"},"outputs":[{"output_type":"stream","name":"stdout","text":["  Learning Rate: 0.001\n","  Discount Factor: 0.99\n","  Epsilon: 1.0\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n","  if not isinstance(terminated, (bool, np.bool8)):\n","/content/drive/MyDrive/Cart_Pole_problem/control_algorithm.py:99: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:278.)\n","  states = torch.tensor(states, dtype=torch.float32)\n"]},{"output_type":"stream","name":"stdout","text":["Episode 10/1000 - Training Reward: 18.00 - Epsilon: 0.9511 - Avg Reward: 19.20 - Evaluation Reward: 9.10\n","Episode 20/1000 - Training Reward: 11.00 - Epsilon: 0.9046 - Avg Reward: 18.60 - Evaluation Reward: 9.80\n","Episode 30/1000 - Training Reward: 27.00 - Epsilon: 0.8604 - Avg Reward: 22.43 - Evaluation Reward: 9.40\n","Episode 40/1000 - Training Reward: 13.00 - Epsilon: 0.8183 - Avg Reward: 22.23 - Evaluation Reward: 9.10\n","Episode 50/1000 - Training Reward: 8.00 - Epsilon: 0.7783 - Avg Reward: 21.28 - Evaluation Reward: 9.20\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/numpy/core/fromnumeric.py:3504: RuntimeWarning: Mean of empty slice.\n","  return _methods._mean(a, axis=axis, dtype=dtype,\n","/usr/local/lib/python3.10/dist-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide\n","  ret = ret.dtype.type(ret / rcount)\n"]},{"output_type":"stream","name":"stdout","text":["Episode 60/1000 - Training Reward: 21.00 - Epsilon: 0.7403 - Avg Reward: 20.80 - Evaluation Reward: 9.70\n","Episode 70/1000 - Training Reward: 20.00 - Epsilon: 0.7041 - Avg Reward: 20.06 - Evaluation Reward: 10.10\n","Episode 80/1000 - Training Reward: 18.00 - Epsilon: 0.6696 - Avg Reward: 16.62 - Evaluation Reward: 9.70\n","Episode 90/1000 - Training Reward: 13.00 - Epsilon: 0.6369 - Avg Reward: 15.64 - Evaluation Reward: 9.20\n","Episode 100/1000 - Training Reward: 21.00 - Epsilon: 0.6058 - Avg Reward: 15.92 - Evaluation Reward: 9.20\n","Episode 110/1000 - Training Reward: 12.00 - Epsilon: 0.5762 - Avg Reward: 15.40 - Evaluation Reward: 9.90\n","Episode 120/1000 - Training Reward: 23.00 - Epsilon: 0.5480 - Avg Reward: 15.54 - Evaluation Reward: 11.10\n","Episode 130/1000 - Training Reward: 9.00 - Epsilon: 0.5212 - Avg Reward: 16.48 - Evaluation Reward: 10.40\n","Episode 140/1000 - Training Reward: 19.00 - Epsilon: 0.4957 - Avg Reward: 17.20 - Evaluation Reward: 9.30\n","Episode 150/1000 - Training Reward: 12.00 - Epsilon: 0.4715 - Avg Reward: 17.46 - Evaluation Reward: 11.00\n","Episode 160/1000 - Training Reward: 13.00 - Epsilon: 0.4484 - Avg Reward: 18.66 - Evaluation Reward: 10.90\n","Episode 170/1000 - Training Reward: 10.00 - Epsilon: 0.4265 - Avg Reward: 18.64 - Evaluation Reward: 13.90\n","Episode 180/1000 - Training Reward: 14.00 - Epsilon: 0.4057 - Avg Reward: 22.34 - Evaluation Reward: 157.30\n","Episode 190/1000 - Training Reward: 47.00 - Epsilon: 0.3858 - Avg Reward: 22.86 - Evaluation Reward: 55.30\n","Episode 200/1000 - Training Reward: 11.00 - Epsilon: 0.3670 - Avg Reward: 22.64 - Evaluation Reward: 46.10\n","Episode 210/1000 - Training Reward: 62.00 - Epsilon: 0.3490 - Avg Reward: 24.98 - Evaluation Reward: 96.80\n","Episode 220/1000 - Training Reward: 38.00 - Epsilon: 0.3320 - Avg Reward: 31.04 - Evaluation Reward: 81.20\n","Episode 230/1000 - Training Reward: 56.00 - Epsilon: 0.3157 - Avg Reward: 31.76 - Evaluation Reward: 141.10\n","Episode 240/1000 - Training Reward: 89.00 - Epsilon: 0.3003 - Avg Reward: 40.56 - Evaluation Reward: 89.70\n","Episode 250/1000 - Training Reward: 114.00 - Epsilon: 0.2856 - Avg Reward: 50.02 - Evaluation Reward: 103.60\n","Episode 260/1000 - Training Reward: 143.00 - Epsilon: 0.2716 - Avg Reward: 67.54 - Evaluation Reward: 165.40\n","Episode 270/1000 - Training Reward: 127.00 - Epsilon: 0.2584 - Avg Reward: 92.64 - Evaluation Reward: 178.00\n","Episode 280/1000 - Training Reward: 131.00 - Epsilon: 0.2457 - Avg Reward: 119.80 - Evaluation Reward: 206.80\n","Episode 290/1000 - Training Reward: 151.00 - Epsilon: 0.2337 - Avg Reward: 139.08 - Evaluation Reward: 178.50\n","Episode 300/1000 - Training Reward: 186.00 - Epsilon: 0.2223 - Avg Reward: 156.52 - Evaluation Reward: 195.10\n","Episode 310/1000 - Training Reward: 170.00 - Epsilon: 0.2114 - Avg Reward: 172.20 - Evaluation Reward: 248.10\n","Episode 320/1000 - Training Reward: 128.00 - Epsilon: 0.2011 - Avg Reward: 173.02 - Evaluation Reward: 183.90\n","Episode 330/1000 - Training Reward: 50.00 - Epsilon: 0.1913 - Avg Reward: 167.26 - Evaluation Reward: 434.10\n","Episode 340/1000 - Training Reward: 177.00 - Epsilon: 0.1819 - Avg Reward: 158.38 - Evaluation Reward: 197.40\n","Episode 350/1000 - Training Reward: 213.00 - Epsilon: 0.1730 - Avg Reward: 166.98 - Evaluation Reward: 215.60\n","Episode 360/1000 - Training Reward: 231.00 - Epsilon: 0.1646 - Avg Reward: 172.42 - Evaluation Reward: 207.00\n","Episode 370/1000 - Training Reward: 183.00 - Epsilon: 0.1565 - Avg Reward: 178.76 - Evaluation Reward: 181.30\n","Episode 380/1000 - Training Reward: 164.00 - Epsilon: 0.1489 - Avg Reward: 182.34 - Evaluation Reward: 158.70\n","Episode 390/1000 - Training Reward: 151.00 - Epsilon: 0.1416 - Avg Reward: 184.14 - Evaluation Reward: 158.50\n","Episode 400/1000 - Training Reward: 28.00 - Epsilon: 0.1347 - Avg Reward: 167.46 - Evaluation Reward: 149.40\n","Episode 410/1000 - Training Reward: 142.00 - Epsilon: 0.1281 - Avg Reward: 149.28 - Evaluation Reward: 151.80\n","Episode 420/1000 - Training Reward: 147.00 - Epsilon: 0.1218 - Avg Reward: 137.22 - Evaluation Reward: 151.20\n","Episode 430/1000 - Training Reward: 141.00 - Epsilon: 0.1159 - Avg Reward: 134.04 - Evaluation Reward: 143.70\n","Episode 440/1000 - Training Reward: 161.00 - Epsilon: 0.1102 - Avg Reward: 139.66 - Evaluation Reward: 149.80\n","Episode 450/1000 - Training Reward: 201.00 - Epsilon: 0.1048 - Avg Reward: 149.82 - Evaluation Reward: 194.80\n","Episode 460/1000 - Training Reward: 500.00 - Epsilon: 0.0997 - Avg Reward: 180.02 - Evaluation Reward: 428.20\n","Episode 470/1000 - Training Reward: 151.00 - Epsilon: 0.0948 - Avg Reward: 187.74 - Evaluation Reward: 145.80\n","Episode 480/1000 - Training Reward: 140.00 - Epsilon: 0.0902 - Avg Reward: 187.40 - Evaluation Reward: 143.00\n","Episode 490/1000 - Training Reward: 146.00 - Epsilon: 0.0858 - Avg Reward: 185.28 - Evaluation Reward: 144.40\n","Episode 500/1000 - Training Reward: 136.00 - Epsilon: 0.0816 - Avg Reward: 181.60 - Evaluation Reward: 142.70\n","Episode 510/1000 - Training Reward: 266.00 - Epsilon: 0.0776 - Avg Reward: 158.58 - Evaluation Reward: 203.60\n","Episode 520/1000 - Training Reward: 436.00 - Epsilon: 0.0738 - Avg Reward: 165.26 - Evaluation Reward: 326.00\n","Episode 530/1000 - Training Reward: 309.00 - Epsilon: 0.0702 - Avg Reward: 173.70 - Evaluation Reward: 284.00\n","Episode 540/1000 - Training Reward: 135.00 - Epsilon: 0.0668 - Avg Reward: 173.38 - Evaluation Reward: 130.30\n","Episode 550/1000 - Training Reward: 17.00 - Epsilon: 0.0635 - Avg Reward: 167.34 - Evaluation Reward: 124.30\n","Episode 560/1000 - Training Reward: 136.00 - Epsilon: 0.0604 - Avg Reward: 164.90 - Evaluation Reward: 174.40\n","Episode 570/1000 - Training Reward: 135.00 - Epsilon: 0.0574 - Avg Reward: 150.16 - Evaluation Reward: 136.10\n","Episode 580/1000 - Training Reward: 130.00 - Epsilon: 0.0546 - Avg Reward: 138.74 - Evaluation Reward: 131.50\n","Episode 590/1000 - Training Reward: 120.00 - Epsilon: 0.0520 - Avg Reward: 135.48 - Evaluation Reward: 112.20\n","Episode 600/1000 - Training Reward: 127.00 - Epsilon: 0.0494 - Avg Reward: 135.74 - Evaluation Reward: 91.90\n","Episode 610/1000 - Training Reward: 120.00 - Epsilon: 0.0470 - Avg Reward: 136.38 - Evaluation Reward: 156.90\n","Episode 620/1000 - Training Reward: 142.00 - Epsilon: 0.0447 - Avg Reward: 154.98 - Evaluation Reward: 204.10\n","Episode 630/1000 - Training Reward: 144.00 - Epsilon: 0.0425 - Avg Reward: 164.90 - Evaluation Reward: 140.70\n","Episode 640/1000 - Training Reward: 138.00 - Epsilon: 0.0404 - Avg Reward: 166.98 - Evaluation Reward: 138.40\n","Episode 650/1000 - Training Reward: 152.00 - Epsilon: 0.0385 - Avg Reward: 172.26 - Evaluation Reward: 142.80\n","Episode 660/1000 - Training Reward: 160.00 - Epsilon: 0.0366 - Avg Reward: 171.76 - Evaluation Reward: 155.50\n","Episode 670/1000 - Training Reward: 161.00 - Epsilon: 0.0348 - Avg Reward: 154.86 - Evaluation Reward: 157.90\n","Episode 680/1000 - Training Reward: 150.00 - Epsilon: 0.0331 - Avg Reward: 151.22 - Evaluation Reward: 158.80\n","Episode 690/1000 - Training Reward: 147.00 - Epsilon: 0.0315 - Avg Reward: 155.84 - Evaluation Reward: 157.50\n","Episode 700/1000 - Training Reward: 150.00 - Epsilon: 0.0299 - Avg Reward: 157.12 - Evaluation Reward: 146.70\n","Episode 710/1000 - Training Reward: 202.00 - Epsilon: 0.0285 - Avg Reward: 164.60 - Evaluation Reward: 156.70\n","Episode 720/1000 - Training Reward: 28.00 - Epsilon: 0.0271 - Avg Reward: 176.14 - Evaluation Reward: 12.80\n","Episode 730/1000 - Training Reward: 161.00 - Epsilon: 0.0258 - Avg Reward: 161.08 - Evaluation Reward: 116.30\n","Episode 740/1000 - Training Reward: 188.00 - Epsilon: 0.0245 - Avg Reward: 172.72 - Evaluation Reward: 178.90\n","Episode 750/1000 - Training Reward: 194.00 - Epsilon: 0.0233 - Avg Reward: 180.14 - Evaluation Reward: 199.20\n","Episode 760/1000 - Training Reward: 146.00 - Epsilon: 0.0222 - Avg Reward: 175.90 - Evaluation Reward: 129.80\n","Episode 770/1000 - Training Reward: 150.00 - Epsilon: 0.0211 - Avg Reward: 163.00 - Evaluation Reward: 153.90\n","Episode 780/1000 - Training Reward: 152.00 - Epsilon: 0.0200 - Avg Reward: 176.14 - Evaluation Reward: 181.10\n","Episode 790/1000 - Training Reward: 500.00 - Epsilon: 0.0191 - Avg Reward: 182.90 - Evaluation Reward: 409.90\n","Episode 800/1000 - Training Reward: 207.00 - Epsilon: 0.0181 - Avg Reward: 188.86 - Evaluation Reward: 190.00\n","Episode 810/1000 - Training Reward: 234.00 - Epsilon: 0.0172 - Avg Reward: 203.62 - Evaluation Reward: 242.80\n","Episode 820/1000 - Training Reward: 500.00 - Epsilon: 0.0164 - Avg Reward: 236.18 - Evaluation Reward: 500.00\n","Episode 830/1000 - Training Reward: 33.00 - Epsilon: 0.0156 - Avg Reward: 242.42 - Evaluation Reward: 274.40\n","Episode 840/1000 - Training Reward: 500.00 - Epsilon: 0.0148 - Avg Reward: 259.90 - Evaluation Reward: 500.00\n","Episode 850/1000 - Training Reward: 198.00 - Epsilon: 0.0141 - Avg Reward: 279.92 - Evaluation Reward: 186.70\n","Episode 860/1000 - Training Reward: 159.00 - Epsilon: 0.0134 - Avg Reward: 264.14 - Evaluation Reward: 159.30\n","Episode 870/1000 - Training Reward: 196.00 - Epsilon: 0.0128 - Avg Reward: 236.02 - Evaluation Reward: 211.20\n","Episode 880/1000 - Training Reward: 258.00 - Epsilon: 0.0121 - Avg Reward: 252.28 - Evaluation Reward: 216.60\n","Episode 890/1000 - Training Reward: 500.00 - Epsilon: 0.0115 - Avg Reward: 244.04 - Evaluation Reward: 494.60\n","Episode 900/1000 - Training Reward: 191.00 - Epsilon: 0.0110 - Avg Reward: 232.92 - Evaluation Reward: 500.00\n","Episode 910/1000 - Training Reward: 314.00 - Epsilon: 0.0104 - Avg Reward: 266.82 - Evaluation Reward: 167.50\n","Episode 920/1000 - Training Reward: 159.00 - Epsilon: 0.0100 - Avg Reward: 265.98 - Evaluation Reward: 153.40\n","Episode 930/1000 - Training Reward: 174.00 - Epsilon: 0.0100 - Avg Reward: 245.60 - Evaluation Reward: 167.80\n","Episode 940/1000 - Training Reward: 183.00 - Epsilon: 0.0100 - Avg Reward: 222.64 - Evaluation Reward: 189.50\n","Episode 950/1000 - Training Reward: 169.00 - Epsilon: 0.0100 - Avg Reward: 204.12 - Evaluation Reward: 167.80\n","Episode 960/1000 - Training Reward: 219.00 - Epsilon: 0.0100 - Avg Reward: 168.92 - Evaluation Reward: 229.60\n","Episode 970/1000 - Training Reward: 139.00 - Epsilon: 0.0100 - Avg Reward: 209.06 - Evaluation Reward: 325.00\n","Episode 980/1000 - Training Reward: 305.00 - Epsilon: 0.0100 - Avg Reward: 226.54 - Evaluation Reward: 203.70\n","Episode 990/1000 - Training Reward: 186.00 - Epsilon: 0.0100 - Avg Reward: 239.30 - Evaluation Reward: 199.50\n","Episode 1000/1000 - Training Reward: 202.00 - Epsilon: 0.0100 - Avg Reward: 241.34 - Evaluation Reward: 172.70\n","DQN Training Complete.\n","Training Rewards: [35.0, 16.0, 20.0, 23.0, 16.0, 16.0, 17.0, 14.0, 17.0, 18.0, 16.0, 15.0, 28.0, 10.0, 14.0, 19.0, 41.0, 12.0, 14.0, 11.0, 68.0, 27.0, 65.0, 25.0, 26.0, 18.0, 21.0, 12.0, 12.0, 27.0, 34.0, 47.0, 8.0, 16.0, 19.0, 36.0, 14.0, 18.0, 11.0, 13.0, 13.0, 12.0, 16.0, 30.0, 11.0, 34.0, 11.0, 11.0, 29.0, 8.0, 13.0, 20.0, 15.0, 16.0, 21.0, 12.0, 22.0, 15.0, 13.0, 21.0, 21.0, 16.0, 11.0, 15.0, 11.0, 9.0, 17.0, 13.0, 10.0, 20.0, 9.0, 12.0, 16.0, 14.0, 14.0, 11.0, 11.0, 11.0, 13.0, 18.0, 14.0, 16.0, 14.0, 57.0, 10.0, 13.0, 11.0, 10.0, 9.0, 13.0, 18.0, 19.0, 32.0, 9.0, 13.0, 13.0, 13.0, 24.0, 27.0, 21.0, 31.0, 16.0, 12.0, 10.0, 17.0, 10.0, 12.0, 10.0, 12.0, 12.0, 14.0, 11.0, 11.0, 16.0, 11.0, 10.0, 27.0, 13.0, 14.0, 23.0, 10.0, 19.0, 22.0, 11.0, 30.0, 17.0, 29.0, 11.0, 18.0, 9.0, 29.0, 22.0, 13.0, 36.0, 16.0, 34.0, 12.0, 9.0, 13.0, 19.0, 15.0, 13.0, 34.0, 35.0, 10.0, 34.0, 26.0, 13.0, 10.0, 12.0, 9.0, 12.0, 12.0, 30.0, 42.0, 13.0, 30.0, 31.0, 10.0, 13.0, 11.0, 11.0, 10.0, 37.0, 12.0, 19.0, 13.0, 14.0, 12.0, 10.0, 25.0, 13.0, 35.0, 63.0, 53.0, 57.0, 18.0, 30.0, 53.0, 14.0, 11.0, 13.0, 30.0, 10.0, 13.0, 12.0, 45.0, 15.0, 33.0, 47.0, 14.0, 49.0, 15.0, 12.0, 17.0, 14.0, 11.0, 21.0, 27.0, 11.0, 17.0, 31.0, 11.0, 13.0, 13.0, 48.0, 17.0, 61.0, 46.0, 62.0, 25.0, 49.0, 40.0, 46.0, 58.0, 49.0, 68.0, 42.0, 37.0, 38.0, 50.0, 74.0, 12.0, 19.0, 14.0, 20.0, 68.0, 53.0, 31.0, 56.0, 32.0, 38.0, 69.0, 154.0, 149.0, 31.0, 15.0, 71.0, 21.0, 89.0, 70.0, 74.0, 16.0, 19.0, 58.0, 63.0, 75.0, 76.0, 99.0, 114.0, 103.0, 70.0, 43.0, 124.0, 250.0, 142.0, 53.0, 125.0, 142.0, 143.0, 136.0, 58.0, 130.0, 118.0, 143.0, 267.0, 122.0, 195.0, 411.0, 127.0, 166.0, 162.0, 114.0, 143.0, 283.0, 26.0, 156.0, 337.0, 237.0, 131.0, 204.0, 24.0, 75.0, 153.0, 351.0, 175.0, 170.0, 176.0, 154.0, 151.0, 14.0, 236.0, 226.0, 15.0, 166.0, 176.0, 157.0, 181.0, 179.0, 186.0, 173.0, 192.0, 198.0, 212.0, 216.0, 18.0, 328.0, 244.0, 228.0, 170.0, 210.0, 11.0, 225.0, 223.0, 209.0, 207.0, 146.0, 215.0, 174.0, 128.0, 159.0, 180.0, 136.0, 104.0, 229.0, 127.0, 91.0, 166.0, 225.0, 50.0, 205.0, 227.0, 61.0, 70.0, 47.0, 105.0, 160.0, 59.0, 78.0, 177.0, 198.0, 193.0, 180.0, 205.0, 192.0, 208.0, 187.0, 187.0, 203.0, 213.0, 222.0, 242.0, 264.0, 228.0, 123.0, 224.0, 284.0, 219.0, 214.0, 231.0, 184.0, 216.0, 224.0, 252.0, 206.0, 217.0, 192.0, 198.0, 193.0, 183.0, 184.0, 162.0, 171.0, 158.0, 164.0, 174.0, 168.0, 136.0, 165.0, 164.0, 158.0, 158.0, 155.0, 157.0, 156.0, 21.0, 29.0, 147.0, 147.0, 151.0, 20.0, 155.0, 166.0, 156.0, 149.0, 149.0, 149.0, 149.0, 11.0, 28.0, 155.0, 145.0, 144.0, 15.0, 151.0, 150.0, 152.0, 145.0, 143.0, 142.0, 146.0, 148.0, 149.0, 151.0, 140.0, 146.0, 145.0, 148.0, 142.0, 147.0, 154.0, 151.0, 144.0, 145.0, 148.0, 155.0, 144.0, 152.0, 153.0, 141.0, 153.0, 156.0, 159.0, 150.0, 147.0, 149.0, 172.0, 152.0, 161.0, 161.0, 30.0, 111.0, 181.0, 168.0, 183.0, 195.0, 186.0, 181.0, 204.0, 201.0, 202.0, 215.0, 229.0, 263.0, 265.0, 264.0, 297.0, 273.0, 344.0, 500.0, 281.0, 337.0, 113.0, 280.0, 31.0, 167.0, 169.0, 167.0, 152.0, 151.0, 147.0, 151.0, 153.0, 149.0, 148.0, 151.0, 147.0, 144.0, 140.0, 140.0, 148.0, 150.0, 147.0, 139.0, 150.0, 142.0, 146.0, 149.0, 137.0, 146.0, 147.0, 140.0, 140.0, 140.0, 152.0, 158.0, 156.0, 144.0, 143.0, 136.0, 130.0, 136.0, 135.0, 137.0, 145.0, 145.0, 158.0, 282.0, 167.0, 266.0, 155.0, 144.0, 156.0, 142.0, 129.0, 153.0, 164.0, 356.0, 347.0, 436.0, 137.0, 303.0, 202.0, 217.0, 213.0, 128.0, 131.0, 106.0, 146.0, 309.0, 156.0, 148.0, 128.0, 139.0, 167.0, 169.0, 136.0, 122.0, 138.0, 135.0, 136.0, 128.0, 127.0, 128.0, 131.0, 125.0, 115.0, 121.0, 126.0, 17.0, 92.0, 123.0, 230.0, 191.0, 162.0, 150.0, 147.0, 190.0, 158.0, 136.0, 152.0, 160.0, 158.0, 133.0, 153.0, 150.0, 131.0, 135.0, 138.0, 135.0, 121.0, 132.0, 132.0, 132.0, 136.0, 141.0, 134.0, 134.0, 129.0, 130.0, 136.0, 133.0, 138.0, 130.0, 140.0, 132.0, 108.0, 133.0, 105.0, 120.0, 101.0, 97.0, 120.0, 114.0, 114.0, 138.0, 116.0, 110.0, 130.0, 127.0, 106.0, 132.0, 137.0, 349.0, 159.0, 153.0, 216.0, 140.0, 99.0, 120.0, 272.0, 364.0, 252.0, 211.0, 176.0, 268.0, 384.0, 141.0, 165.0, 142.0, 255.0, 224.0, 174.0, 157.0, 264.0, 164.0, 141.0, 156.0, 138.0, 144.0, 141.0, 140.0, 136.0, 134.0, 139.0, 140.0, 144.0, 137.0, 130.0, 138.0, 143.0, 144.0, 139.0, 139.0, 140.0, 137.0, 141.0, 146.0, 150.0, 152.0, 159.0, 184.0, 156.0, 151.0, 148.0, 162.0, 152.0, 158.0, 156.0, 160.0, 162.0, 161.0, 161.0, 153.0, 151.0, 148.0, 147.0, 142.0, 144.0, 161.0, 148.0, 144.0, 148.0, 144.0, 144.0, 148.0, 304.0, 150.0, 155.0, 150.0, 168.0, 170.0, 174.0, 162.0, 155.0, 153.0, 160.0, 167.0, 154.0, 147.0, 149.0, 150.0, 165.0, 135.0, 142.0, 154.0, 145.0, 147.0, 158.0, 150.0, 413.0, 155.0, 158.0, 168.0, 173.0, 169.0, 175.0, 176.0, 171.0, 202.0, 188.0, 180.0, 171.0, 163.0, 157.0, 458.0, 183.0, 392.0, 187.0, 28.0, 198.0, 23.0, 17.0, 16.0, 19.0, 12.0, 148.0, 148.0, 140.0, 161.0, 193.0, 228.0, 320.0, 233.0, 211.0, 200.0, 210.0, 200.0, 209.0, 188.0, 174.0, 174.0, 192.0, 181.0, 179.0, 196.0, 187.0, 195.0, 194.0, 194.0, 197.0, 204.0, 217.0, 319.0, 147.0, 152.0, 84.0, 139.0, 143.0, 146.0, 136.0, 128.0, 146.0, 146.0, 144.0, 159.0, 146.0, 150.0, 157.0, 150.0, 154.0, 146.0, 154.0, 148.0, 155.0, 150.0, 161.0, 165.0, 154.0, 152.0, 165.0, 209.0, 288.0, 169.0, 211.0, 233.0, 155.0, 280.0, 320.0, 500.0, 223.0, 245.0, 384.0, 166.0, 178.0, 240.0, 176.0, 168.0, 177.0, 207.0, 167.0, 195.0, 171.0, 500.0, 263.0, 257.0, 235.0, 220.0, 244.0, 234.0, 244.0, 238.0, 252.0, 245.0, 234.0, 239.0, 268.0, 370.0, 500.0, 500.0, 166.0, 500.0, 479.0, 255.0, 84.0, 98.0, 125.0, 29.0, 82.0, 33.0, 500.0, 276.0, 259.0, 87.0, 500.0, 350.0, 301.0, 401.0, 230.0, 500.0, 500.0, 500.0, 254.0, 500.0, 387.0, 229.0, 205.0, 209.0, 183.0, 198.0, 190.0, 185.0, 177.0, 163.0, 166.0, 169.0, 165.0, 166.0, 157.0, 159.0, 166.0, 155.0, 169.0, 164.0, 157.0, 168.0, 160.0, 171.0, 178.0, 196.0, 208.0, 197.0, 204.0, 184.0, 313.0, 463.0, 260.0, 258.0, 319.0, 258.0, 282.0, 263.0, 235.0, 243.0, 271.0, 247.0, 313.0, 278.0, 360.0, 500.0, 457.0, 146.0, 399.0, 264.0, 500.0, 189.0, 157.0, 157.0, 149.0, 191.0, 259.0, 463.0, 260.0, 291.0, 343.0, 353.0, 500.0, 328.0, 281.0, 314.0, 160.0, 218.0, 171.0, 177.0, 157.0, 150.0, 157.0, 141.0, 152.0, 159.0, 150.0, 151.0, 148.0, 161.0, 167.0, 175.0, 165.0, 175.0, 179.0, 174.0, 164.0, 173.0, 193.0, 195.0, 200.0, 180.0, 199.0, 185.0, 172.0, 183.0, 171.0, 170.0, 160.0, 169.0, 163.0, 164.0, 177.0, 171.0, 169.0, 169.0, 170.0, 173.0, 166.0, 170.0, 177.0, 178.0, 186.0, 180.0, 13.0, 219.0, 376.0, 263.0, 302.0, 500.0, 500.0, 211.0, 500.0, 500.0, 358.0, 139.0, 202.0, 500.0, 153.0, 215.0, 178.0, 201.0, 231.0, 261.0, 273.0, 305.0, 199.0, 226.0, 187.0, 207.0, 251.0, 227.0, 312.0, 491.0, 196.0, 186.0, 184.0, 197.0, 183.0, 167.0, 175.0, 162.0, 154.0, 251.0, 110.0, 202.0]\n","Evaluation Rewards: [9.1, 9.8, 9.4, 9.1, 9.2, 9.7, 10.1, 9.7, 9.2, 9.2, 9.9, 11.1, 10.4, 9.3, 11.0, 10.9, 13.9, 157.3, 55.3, 46.1, 96.8, 81.2, 141.1, 89.7, 103.6, 165.4, 178.0, 206.8, 178.5, 195.1, 248.1, 183.9, 434.1, 197.4, 215.6, 207.0, 181.3, 158.7, 158.5, 149.4, 151.8, 151.2, 143.7, 149.8, 194.8, 428.2, 145.8, 143.0, 144.4, 142.7, 203.6, 326.0, 284.0, 130.3, 124.3, 174.4, 136.1, 131.5, 112.2, 91.9, 156.9, 204.1, 140.7, 138.4, 142.8, 155.5, 157.9, 158.8, 157.5, 146.7, 156.7, 12.8, 116.3, 178.9, 199.2, 129.8, 153.9, 181.1, 409.9, 190.0, 242.8, 500.0, 274.4, 500.0, 186.7, 159.3, 211.2, 216.6, 494.6, 500.0, 167.5, 153.4, 167.8, 189.5, 167.8, 229.6, 325.0, 203.7, 199.5, 172.7]\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["DQN Training completed. You can now test the agent.\n"]}],"source":["print(f\"  Learning Rate: {config.CONTROL_PARAMS['learning_rate']}\")\n","print(f\"  Discount Factor: {config.CONTROL_PARAMS['discount_factor']}\")\n","print(f\"  Epsilon: {config.CONTROL_PARAMS['epsilon']}\")\n","\n","from cross_validation import run_cross_validation_or_training\n","import joblib\n","\n","controller = run_cross_validation_or_training(model)"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1725357414616,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"SKtYm1BzQ2p6"},"outputs":[],"source":["if controller is not None:\n","    joblib.dump(controller, 'trained_dqn_model.pkl')"]},{"cell_type":"markdown","metadata":{"id":"28A_EzaQIHLs"},"source":["# Testing for QLearning\n","\n","This section if for testing the model and saving the test logs, created by qlearning only"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":238},"executionInfo":{"elapsed":424,"status":"error","timestamp":1724967765455,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"yWNZE17Kx3g2","outputId":"29c06770-5b80-4fb3-db98-a11ea769de3f"},"outputs":[{"ename":"AttributeError","evalue":"'dict' object has no attribute 'get_action'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)","\u001b[0;32m<ipython-input-15-690330c1291c>\u001b[0m in \u001b[0;36m<cell line: 19>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     26\u001b[0m         \u001b[0;31m#env.render()\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m         \u001b[0;31m# Get the action from the trained model without exploration (epsilon=0)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m         \u001b[0maction\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcontroller\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_action\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepsilon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     29\u001b[0m         \u001b[0mnext_state\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreward\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m           \u001b[0;31m# Logging each step in the episode\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'get_action'"]}],"source":["# Testing phase\n","import joblib\n","import os\n","\n","model_path = os.path.join(config.LOG_PARAMS['save_path'], 'trained_dqn_model_with_params.pkl')\n","controller = joblib.load(model_path)\n","\n","success_threshold=195\n","\n","test_episodes = 100\n","test_rewards = []\n","test_lengths = []\n","\n","test_logger = DataLogger(config.LOG_PARAMS)\n","\n","# Initialize the environment\n","env = GymWrapper(gym.make('CartPole-v1'))\n","\n","for episode in range(test_episodes):\n","    state = env.reset()\n","    episode_reward = 0\n","    episode_length = 0\n","\n","    while True:\n","\n","        #env.render()\n","        # Get the action from the trained model without exploration (epsilon=0)\n","        action = controller.get_action(state, epsilon=0.0)\n","        next_state, reward, done, _ = env.step(action)\n","          # Logging each step in the episode\n","        test_logger.log(state, action, reward, next_state)\n","\n","        state = next_state\n","        episode_reward += reward\n","        episode_length += 1\n","        if done:\n","            break\n","\n","    # Log the episode-level data\n","    test_logger.log_episode(episode, episode_reward, episode_length)\n","\n","    test_rewards.append(episode_reward)\n","    test_lengths.append(episode_length)\n","\n","# Calculate and print the test metrics\n","average_test_reward = np.mean(test_rewards)\n","average_test_length = np.mean(test_lengths)\n","success_rate = np.mean([1 if r >= success_threshold else 0 for r in test_rewards])\n","\n","print(f\"Average Test Reward over {test_episodes} episodes: {average_test_reward}\")\n","print(f\"Average Test Episode Length: {average_test_length}\")\n","print(f\"Success Rate: {success_rate * 100}%\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":541},"executionInfo":{"elapsed":1756,"status":"ok","timestamp":1724791507922,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"vKfHnN6O3mkx","outputId":"48d78c0d-f73f-4302-997c-194a31988f87"},"outputs":[{"data":{"image/png":"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size 1200x1000 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["test_logger.save_metrics(state='test')\n","\n","# Optionally, save logs and plot the results\n","test_logger.save_logs_as_csv(state='test')\n","test_logger.plot_results(model_name='QLearning_Test', window_size=10)"]},{"cell_type":"markdown","metadata":{"id":"W4Yk2E6qI2tC"},"source":["# Testing for DQN\n","This section is to be used only for testing the DQN model and to display and save its results"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":2743,"status":"ok","timestamp":1725357568263,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"Jomywxj-B_3P","outputId":"e9cfb798-b5b2-4c03-a17c-f9e403d0610d"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/torch/storage.py:414: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n","  return torch.load(io.BytesIO(b))\n"]},{"output_type":"stream","name":"stdout","text":["Episode 1/100: Reward = 173.0, Length = 173\n","Episode 2/100: Reward = 177.0, Length = 177\n","Episode 3/100: Reward = 186.0, Length = 186\n","Episode 4/100: Reward = 179.0, Length = 179\n","Episode 5/100: Reward = 180.0, Length = 180\n","Episode 6/100: Reward = 162.0, Length = 162\n","Episode 7/100: Reward = 167.0, Length = 167\n","Episode 8/100: Reward = 163.0, Length = 163\n","Episode 9/100: Reward = 178.0, Length = 178\n","Episode 10/100: Reward = 184.0, Length = 184\n","Episode 11/100: Reward = 176.0, Length = 176\n","Episode 12/100: Reward = 162.0, Length = 162\n","Episode 13/100: Reward = 172.0, Length = 172\n","Episode 14/100: Reward = 178.0, Length = 178\n","Episode 15/100: Reward = 173.0, Length = 173\n","Episode 16/100: Reward = 170.0, Length = 170\n","Episode 17/100: Reward = 169.0, Length = 169\n","Episode 18/100: Reward = 177.0, Length = 177\n","Episode 19/100: Reward = 182.0, Length = 182\n","Episode 20/100: Reward = 163.0, Length = 163\n","Episode 21/100: Reward = 166.0, Length = 166\n","Episode 22/100: Reward = 173.0, Length = 173\n","Episode 23/100: Reward = 166.0, Length = 166\n","Episode 24/100: Reward = 164.0, Length = 164\n","Episode 25/100: Reward = 185.0, Length = 185\n","Episode 26/100: Reward = 167.0, Length = 167\n","Episode 27/100: Reward = 173.0, Length = 173\n","Episode 28/100: Reward = 171.0, Length = 171\n","Episode 29/100: Reward = 187.0, Length = 187\n","Episode 30/100: Reward = 186.0, Length = 186\n","Episode 31/100: Reward = 171.0, Length = 171\n","Episode 32/100: Reward = 170.0, Length = 170\n","Episode 33/100: Reward = 190.0, Length = 190\n","Episode 34/100: Reward = 174.0, Length = 174\n","Episode 35/100: Reward = 169.0, Length = 169\n","Episode 36/100: Reward = 182.0, Length = 182\n","Episode 37/100: Reward = 176.0, Length = 176\n","Episode 38/100: Reward = 171.0, Length = 171\n","Episode 39/100: Reward = 180.0, Length = 180\n","Episode 40/100: Reward = 189.0, Length = 189\n","Episode 41/100: Reward = 169.0, Length = 169\n","Episode 42/100: Reward = 166.0, Length = 166\n","Episode 43/100: Reward = 177.0, Length = 177\n","Episode 44/100: Reward = 173.0, Length = 173\n","Episode 45/100: Reward = 169.0, Length = 169\n","Episode 46/100: Reward = 195.0, Length = 195\n","Episode 47/100: Reward = 179.0, Length = 179\n","Episode 48/100: Reward = 169.0, Length = 169\n","Episode 49/100: Reward = 180.0, Length = 180\n","Episode 50/100: Reward = 185.0, Length = 185\n","Episode 51/100: Reward = 169.0, Length = 169\n","Episode 52/100: Reward = 170.0, Length = 170\n","Episode 53/100: Reward = 187.0, Length = 187\n","Episode 54/100: Reward = 167.0, Length = 167\n","Episode 55/100: Reward = 157.0, Length = 157\n","Episode 56/100: Reward = 192.0, Length = 192\n","Episode 57/100: Reward = 178.0, Length = 178\n","Episode 58/100: Reward = 177.0, Length = 177\n","Episode 59/100: Reward = 171.0, Length = 171\n","Episode 60/100: Reward = 169.0, Length = 169\n","Episode 61/100: Reward = 174.0, Length = 174\n","Episode 62/100: Reward = 168.0, Length = 168\n","Episode 63/100: Reward = 184.0, Length = 184\n","Episode 64/100: Reward = 163.0, Length = 163\n","Episode 65/100: Reward = 169.0, Length = 169\n","Episode 66/100: Reward = 175.0, Length = 175\n","Episode 67/100: Reward = 163.0, Length = 163\n","Episode 68/100: Reward = 173.0, Length = 173\n","Episode 69/100: Reward = 175.0, Length = 175\n","Episode 70/100: Reward = 169.0, Length = 169\n","Episode 71/100: Reward = 175.0, Length = 175\n","Episode 72/100: Reward = 177.0, Length = 177\n","Episode 73/100: Reward = 167.0, Length = 167\n","Episode 74/100: Reward = 160.0, Length = 160\n","Episode 75/100: Reward = 180.0, Length = 180\n","Episode 76/100: Reward = 167.0, Length = 167\n","Episode 77/100: Reward = 168.0, Length = 168\n","Episode 78/100: Reward = 181.0, Length = 181\n","Episode 79/100: Reward = 163.0, Length = 163\n","Episode 80/100: Reward = 192.0, Length = 192\n","Episode 81/100: Reward = 174.0, Length = 174\n","Episode 82/100: Reward = 179.0, Length = 179\n","Episode 83/100: Reward = 183.0, Length = 183\n","Episode 84/100: Reward = 166.0, Length = 166\n","Episode 85/100: Reward = 170.0, Length = 170\n","Episode 86/100: Reward = 181.0, Length = 181\n","Episode 87/100: Reward = 169.0, Length = 169\n","Episode 88/100: Reward = 169.0, Length = 169\n","Episode 89/100: Reward = 159.0, Length = 159\n","Episode 90/100: Reward = 177.0, Length = 177\n","Episode 91/100: Reward = 164.0, Length = 164\n","Episode 92/100: Reward = 163.0, Length = 163\n","Episode 93/100: Reward = 171.0, Length = 171\n","Episode 94/100: Reward = 176.0, Length = 176\n","Episode 95/100: Reward = 177.0, Length = 177\n","Episode 96/100: Reward = 164.0, Length = 164\n","Episode 97/100: Reward = 181.0, Length = 181\n","Episode 98/100: Reward = 165.0, Length = 165\n","Episode 99/100: Reward = 173.0, Length = 173\n","Episode 100/100: Reward = 176.0, Length = 176\n","Average Test Reward over 100 episodes: 173.6\n","Average Test Episode Length: 173.6\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 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\n"},"metadata":{}}],"source":["import gym\n","import joblib\n","import torch\n","import matplotlib.pyplot as plt\n","import csv\n","from control_algorithm import DQNControl  # Assuming this is your DQN model class\n","from gym_wrapper import GymWrapper\n","import config\n","import os\n","\n","def test_dqn(model_class, config, num_episodes=100):\n","    env = GymWrapper(gym.make('CartPole-v1'))\n","\n","    # Load the trained model\n","    model_path = os.path.join(config.LOG_PARAMS['save_path'], 'trained_dqn_model_with_params.pkl')\n","    model_info = joblib.load(model_path)\n","    controller = model_info['model']\n","\n","    # Set the model to evaluation mode if using PyTorch\n","    if isinstance(controller.model, torch.nn.Module):\n","        controller.model.eval()\n","\n","    test_rewards = []\n","    test_lengths = []\n","\n","    for episode in range(num_episodes):\n","        state = env.reset()\n","        episode_reward = 0\n","        episode_length = 0\n","        done = False\n","\n","        while not done:\n","            # Get the action from the model, without exploration (epsilon=0 or explore=False)\n","            action = controller.get_action(state, explore=False)\n","            next_state, reward, done, _ = env.step(action)\n","            episode_reward += reward\n","            state = next_state\n","            episode_length += 1\n","\n","        test_rewards.append(episode_reward)\n","        test_lengths.append(episode_length)\n","\n","        print(f\"Episode {episode + 1}/{num_episodes}: Reward = {episode_reward}, Length = {episode_length}\")\n","\n","    # Calculate and print the average reward and length\n","    average_test_reward = sum(test_rewards) / num_episodes\n","    average_test_length = sum(test_lengths) / num_episodes\n","\n","    print(f\"Average Test Reward over {num_episodes} episodes: {average_test_reward}\")\n","    print(f\"Average Test Episode Length: {average_test_length}\")\n","\n","    # Plotting the results\n","    plt.figure(figsize=(10, 6))\n","    plt.plot(test_rewards, label='Test Rewards')\n","    plt.xlabel('Episode')\n","    plt.ylabel('Reward')\n","    plt.title('Test Rewards Over Episodes')\n","    plt.legend()\n","\n","    # Save the plot\n","    plot_path = os.path.join(config.LOG_PARAMS['save_path'], 'test_rewards_plot.png')\n","    plt.savefig(plot_path)\n","    plt.show()\n","\n","    # Save the test results to a CSV file\n","    log_path = os.path.join(config.LOG_PARAMS['save_path'], 'test_logs.csv')\n","    with open(log_path, 'w', newline='') as f:\n","        writer = csv.writer(f)\n","        writer.writerow(['Episode', 'Reward', 'Length'])\n","        for i in range(num_episodes):\n","            writer.writerow([i + 1, test_rewards[i], test_lengths[i]])\n","\n","    env.close()\n","\n","# Example usage for testing\n","test_dqn(DQNControl, config)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5hoD_kUsswCX"},"outputs":[],"source":["env.close()"]},{"cell_type":"markdown","metadata":{"id":"6GLd1fRDhbbe"},"source":["# Testing Sarsa\n","\n","This section is to be used only for testing the Sarsa model and to display and save its results"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"BjDl5zfQhgZr"},"outputs":[],"source":["import matplotlib.pyplot as plt\n","import numpy as np\n","import joblib\n","import os\n","\n","def plot_test_results(logger, save_path=None):\n","    plt.figure(figsize=(12, 6))\n","\n","    # Plot test rewards\n","    plt.plot(logger.episode_rewards, label='Test Reward', color='green')\n","\n","    # Optionally, plot average reward (moving average)\n","    window_size = 10\n","    avg_rewards = np.convolve(logger.episode_rewards, np.ones(window_size) / window_size, mode='valid')\n","    plt.plot(range(len(avg_rewards)), avg_rewards, label='Average Test Reward', color='orange')\n","\n","    plt.xlabel('Episode')\n","    plt.ylabel('Reward')\n","    plt.title('SARSA Test Rewards')\n","    plt.legend()\n","\n","    if save_path:\n","        plt.savefig(save_path)\n","    plt.show()\n","\n","# Modify the test_sarsa function to include plotting\n","def test_sarsa(model_class, config, num_episodes=100):\n","    env = GymWrapper(gym.make('CartPole-v1'))\n","\n","    # Load the trained SARSA model\n","    model_path = os.path.join(config.LOG_PARAMS['save_path'], 'sarsa_model.pkl')\n","    controller = joblib.load(model_path)\n","\n","    test_rewards = []\n","    test_lengths = []\n","\n","    for episode in range(num_episodes):\n","        state = env.reset()\n","        episode_reward = 0\n","        done = False\n","        t = 0\n","\n","        action = controller.get_action(state)  # Initial action\n","\n","        while not done:\n","            next_state, reward, done, _ = env.step(action)\n","            next_action = controller.get_action(next_state)  # Next action\n","\n","            # No update to Q-table here, just testing\n","            state = next_state\n","            action = next_action\n","            episode_reward += reward\n","            t += 1\n","\n","        test_rewards.append(episode_reward)\n","        test_lengths.append(t)\n","\n","        print(f\"Episode {episode + 1}/{num_episodes}: Reward = {episode_reward}, Length = {t}\")\n","\n","    # Calculate and print the average reward and length\n","    average_test_reward = sum(test_rewards) / num_episodes\n","    average_test_length = sum(test_lengths) / num_episodes\n","\n","    print(f\"Average Test Reward over {num_episodes} episodes: {average_test_reward}\")\n","    print(f\"Average Test Episode Length: {average_test_length}\")\n","\n","    # Save the test results in logs\n","    test_logger = DataLogger(config.LOG_PARAMS)\n","    test_logger.episode_rewards = test_rewards\n","    test_logger.episode_lengths = test_lengths\n","    test_logger.save_logs_as_csv(state='test')\n","    test_logger.save_metrics(state='test')\n","\n","    # Plot and save the test results\n","    plot_path = os.path.join(config.LOG_PARAMS['save_path'], 'sarsa_test_plot.png')\n","    plot_test_results(test_logger, save_path=plot_path)\n","\n","    env.close()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":1218,"status":"ok","timestamp":1725327653143,"user":{"displayName":"Naman Saxena","userId":"09587629527125854689"},"user_tz":-330},"id":"vIZum8ihFTpG","outputId":"b0ad34ae-b2d3-4d90-c80b-e5cee758b693"},"outputs":[{"name":"stdout","output_type":"stream","text":["Episode 1/100: Reward = 10.0, Length = 10\n","Episode 2/100: Reward = 13.0, Length = 13\n","Episode 3/100: Reward = 10.0, Length = 10\n","Episode 4/100: Reward = 9.0, Length = 9\n","Episode 5/100: Reward = 11.0, Length = 11\n","Episode 6/100: Reward = 13.0, Length = 13\n","Episode 7/100: Reward = 9.0, Length = 9\n","Episode 8/100: Reward = 9.0, Length = 9\n","Episode 9/100: Reward = 10.0, Length = 10\n","Episode 10/100: Reward = 9.0, Length = 9\n","Episode 11/100: Reward = 9.0, Length = 9\n","Episode 12/100: Reward = 10.0, Length = 10\n","Episode 13/100: Reward = 9.0, Length = 9\n","Episode 14/100: Reward = 13.0, Length = 13\n","Episode 15/100: Reward = 13.0, Length = 13\n","Episode 16/100: Reward = 10.0, Length = 10\n","Episode 17/100: Reward = 13.0, Length = 13\n","Episode 18/100: Reward = 9.0, Length = 9\n","Episode 19/100: Reward = 9.0, Length = 9\n","Episode 20/100: Reward = 12.0, Length = 12\n","Episode 21/100: Reward = 9.0, Length = 9\n","Episode 22/100: Reward = 11.0, Length = 11\n","Episode 23/100: Reward = 9.0, Length = 9\n","Episode 24/100: Reward = 10.0, Length = 10\n","Episode 25/100: Reward = 10.0, Length = 10\n","Episode 26/100: Reward = 12.0, Length = 12\n","Episode 27/100: Reward = 13.0, Length = 13\n","Episode 28/100: Reward = 11.0, Length = 11\n","Episode 29/100: Reward = 13.0, Length = 13\n","Episode 30/100: Reward = 9.0, Length = 9\n","Episode 31/100: Reward = 10.0, Length = 10\n","Episode 32/100: Reward = 13.0, Length = 13\n","Episode 33/100: Reward = 10.0, Length = 10\n","Episode 34/100: Reward = 11.0, Length = 11\n","Episode 35/100: Reward = 10.0, Length = 10\n","Episode 36/100: Reward = 9.0, Length = 9\n","Episode 37/100: Reward = 9.0, Length = 9\n","Episode 38/100: Reward = 10.0, Length = 10\n","Episode 39/100: Reward = 11.0, Length = 11\n","Episode 40/100: Reward = 9.0, Length = 9\n","Episode 41/100: Reward = 12.0, Length = 12\n","Episode 42/100: Reward = 9.0, Length = 9\n","Episode 43/100: Reward = 10.0, Length = 10\n","Episode 44/100: Reward = 10.0, Length = 10\n","Episode 45/100: Reward = 13.0, Length = 13\n","Episode 46/100: Reward = 11.0, Length = 11\n","Episode 47/100: Reward = 9.0, Length = 9\n","Episode 48/100: Reward = 11.0, Length = 11\n","Episode 49/100: Reward = 10.0, Length = 10\n","Episode 50/100: Reward = 10.0, Length = 10\n","Episode 51/100: Reward = 9.0, Length = 9\n","Episode 52/100: Reward = 9.0, Length = 9\n","Episode 53/100: Reward = 10.0, Length = 10\n","Episode 54/100: Reward = 9.0, Length = 9\n","Episode 55/100: Reward = 9.0, Length = 9\n","Episode 56/100: Reward = 13.0, Length = 13\n","Episode 57/100: Reward = 13.0, Length = 13\n","Episode 58/100: Reward = 9.0, Length = 9\n","Episode 59/100: Reward = 9.0, Length = 9\n","Episode 60/100: Reward = 13.0, Length = 13\n","Episode 61/100: Reward = 13.0, Length = 13\n","Episode 62/100: Reward = 10.0, Length = 10\n","Episode 63/100: Reward = 9.0, Length = 9\n","Episode 64/100: Reward = 9.0, Length = 9\n","Episode 65/100: Reward = 13.0, Length = 13\n","Episode 66/100: Reward = 13.0, Length = 13\n","Episode 67/100: Reward = 9.0, Length = 9\n","Episode 68/100: Reward = 9.0, Length = 9\n","Episode 69/100: Reward = 15.0, Length = 15\n","Episode 70/100: Reward = 11.0, Length = 11\n","Episode 71/100: Reward = 10.0, Length = 10\n","Episode 72/100: Reward = 10.0, Length = 10\n","Episode 73/100: Reward = 9.0, Length = 9\n","Episode 74/100: Reward = 11.0, Length = 11\n","Episode 75/100: Reward = 9.0, Length = 9\n","Episode 76/100: Reward = 10.0, Length = 10\n","Episode 77/100: Reward = 13.0, Length = 13\n","Episode 78/100: Reward = 14.0, Length = 14\n","Episode 79/100: Reward = 13.0, Length = 13\n","Episode 80/100: Reward = 9.0, Length = 9\n","Episode 81/100: Reward = 10.0, Length = 10\n","Episode 82/100: Reward = 10.0, Length = 10\n","Episode 83/100: Reward = 9.0, Length = 9\n","Episode 84/100: Reward = 10.0, Length = 10\n","Episode 85/100: Reward = 9.0, Length = 9\n","Episode 86/100: Reward = 13.0, Length = 13\n","Episode 87/100: Reward = 13.0, Length = 13\n","Episode 88/100: Reward = 10.0, Length = 10\n","Episode 89/100: Reward = 11.0, Length = 11\n","Episode 90/100: Reward = 10.0, Length = 10\n","Episode 91/100: Reward = 10.0, Length = 10\n","Episode 92/100: Reward = 9.0, Length = 9\n","Episode 93/100: Reward = 13.0, Length = 13\n","Episode 94/100: Reward = 13.0, Length = 13\n","Episode 95/100: Reward = 10.0, Length = 10\n","Episode 96/100: Reward = 10.0, Length = 10\n","Episode 97/100: Reward = 9.0, Length = 9\n","Episode 98/100: Reward = 10.0, Length = 10\n","Episode 99/100: Reward = 10.0, Length = 10\n","Episode 100/100: Reward = 11.0, Length = 11\n","Average Test Reward over 100 episodes: 10.56\n","Average Test Episode Length: 10.56\n"]},{"data":{"image/png":"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\n","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["test_sarsa(SarsaControl, config)"]}],"metadata":{"accelerator":"GPU","colab":{"gpuType":"T4","provenance":[],"collapsed_sections":["tl0CJd7MFoad","SA5Qopq8GDMk","4pn4nawRHDxe","DZ5xOWWwGctX","28A_EzaQIHLs"],"authorship_tag":"ABX9TyOhulRGdXBiw2vwAzX/Gf4u"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}
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