README.md

metadata

library_name: stable-baselines3
tags:
  - BipedalWalker-v3
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: Proximal Policy Optimisation (PPO)
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: BipedalWalker-v3
          type: BipedalWalker-v3
        metrics:
          - type: mean_reward
            value: 229.21 +/- 63.57
            name: mean_reward
            verified: false

Proximal Policy Optimisation (PPO) Agent playing BipedalWalker-v3

This is a trained model of a Proximal Policy Optimisation (PPO) agent playing BipedalWalker-v3 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...