README.md

metadata

library_name: stable-baselines3
tags:
  - ALE/Tetris-v5
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: A2C
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: ALE/Tetris-v5
          type: ALE/Tetris-v5
        metrics:
          - type: mean_reward
            value: 0.00 +/- 0.00
            name: mean_reward
            verified: false

A2C Agent playing ALE/Tetris-v5

This is a trained model of a A2C agent playing ALE/Tetris-v5 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...