README.md

metadata

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 library.

Usage (with RL-baselines3-zoo)

Just clone the rl-baselines3-zoo library.

Then run:

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}},
}