README.md

metadata

library_name: stable-baselines3
tags:
  - CartPole-v1
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: PPO
    results:
      - metrics:
          - type: mean_reward
            value: 500.00 +/- 0.00
            name: mean_reward
        task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: CartPole-v1
          type: CartPole-v1

PPO Agent playing CartPole-v1

This is a trained model of a PPO agent playing CartPole-v1 using the stable-baselines3 library and the RL Zoo

Usage (with SB3 RL Zoo)

# Download model and save it into the logs/ folder
python -m utils.load_from_hub --algo ppo --env CartPole-v1 -orga sb3 -f logs/
python enjoy --algo ppo --env CartPole-v1  -f logs/

Training (with the RL Zoo)

python train.py --algo ppo --env CartPole-v1 -f logs/
# Upload the model and generate video (when possible)
python -m utils.push_to_hub --algo ppo --env CartPole-v1 -f logs/ -orga sb3