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Commit with first PPO model
ba9efd9
metadata
library_name: stable-baselines3
tags:
  - LunarLander-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: PPO with a simple MLP policy from Stable-Baselines3
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2
        metrics:
          - type: mean_reward
            value: 278.90 +/- 14.70
            name: mean_reward
            verified: false

PPO with a simple MLP policy from Stable-Baselines3 Agent playing LunarLander-v2

This is a trained model of a PPO with a simple MLP policy from Stable-Baselines3 agent playing LunarLander-v2 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...