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metadata
library_name: stable-baselines3
tags:
  - BipedalWalker-v3
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: PPO
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: BipedalWalker-v3
          type: BipedalWalker-v3
        metrics:
          - type: mean_reward
            value: 13.49 +/- 51.00
            name: mean_reward
            verified: false

PPO Agent playing BipedalWalker-v3

This is a trained model of a 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

...

This one was trained with tuned hyperparameters on 100 million timesteps and it still falls in the holes suggesting that we have reached the limits of basic PPO for this challenge