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started\n\nEnsure that your **python** version is \u003e= 3.9 \n\nTrain the Agent using the following command:\n\n```bash\n   $ python train_rl_agent.py \n```\n\n### Do inference after training\n\nrun the test_rl_agent script using the following command:\n\n```bash\n   $ python test_rl_agent.py \n```\n\n\n### Tensorboard\n```bash\n   $ tensorboard --logdir=CartPole-v0_results\n```\n\n\n### Results \n\n\nBest Trial name                 |iter   |total time (s) |reward  | episode_reward_max  | episode_reward_min |  \n:------------------------------:|:-----:|:-------------:|:------:|:-------------------:|:------------------:|\nPPO_CartPole-v0_e6e3e_00000     | 28    |   145.908     | 197.08 |   200               |   127              |\nPPO_LunarLander-v2_db73e_00000  | 148   |   943.732     | 195.263|   301.256           |   -153.757         | \n\n\n\nEmvironment                           |  Tensorboard                             \n:------------------------------------:|:---------------------------------:\n![](results/CartPole.gif)             | ![](results/CartPole_Tensorboard.png)\n![](results/LunarLander.gif)          | ![](results/LunarLander_Tensorboard.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpjarbas%2Fdeep-rl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpjarbas%2Fdeep-rl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpjarbas%2Fdeep-rl/lists"}