readme: ---
  tags:
  - gym
  - reinforcement-learning
  ---
  
  
  # TestSB3/ppo-CartPole-v1
  
  This is a trained model of a PPO agent playing CartPole-v1 using the [rl-baselines3-zoo](https://github.com/DLR-RM/rl-baselines3-zoo) library.
  
  ## Usage (with RL-baselines3-zoo)
  
  Just clone the [rl-baselines3-zoo](https://github.com/DLR-RM/rl-baselines3-zoo) library.
  
  Then run:
  
  ```python
  python  enjoy.py --algo ppo --env CartPole-v1
  ```
  ## Evaluation Results
  
  Mean Reward: 500.0 +/- 0.0 (300 test episodes)
  
  ## Citing the Project
  To cite this repository in publications:
  
  ```
  @misc{rl-zoo3,
    author = {Raffin, Antonin},
    title = {RL Baselines3 Zoo},
    year = {2020},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/DLR-RM/rl-baselines3-zoo}},
  }
  ```