a2c-Atari-Pong / README.md
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metadata
library_name: stable-baselines3
tags:
  - PongNoFrameskip-v4
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: A2C
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: PongNoFrameskip-v4
          type: PongNoFrameskip-v4
        metrics:
          - type: mean_reward
            value: '-20.90 +/- 0.30'
            name: mean_reward
            verified: false

A2C Agent playing PongNoFrameskip-v4

This is a trained model of a A2C agent playing PongNoFrameskip-v4 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...