This project aims to solving gym environments using RLlib: Industry-Grade Reinforcement Learning
Ensure that your python version is >= 3.9
Train the Agent using the following command:
$ python train_rl_agent.py run the test_rl_agent script using the following command:
$ python test_rl_agent.py $ tensorboard --logdir=CartPole-v0_results| Best Trial name | iter | total time (s) | reward | episode_reward_max | episode_reward_min |
|---|---|---|---|---|---|
| PPO_CartPole-v0_e6e3e_00000 | 28 | 145.908 | 197.08 | 200 | 127 |
| PPO_LunarLander-v2_db73e_00000 | 148 | 943.732 | 195.263 | 301.256 | -153.757 |
| Emvironment | Tensorboard |
|---|---|
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