README.md

metadata

library_name: stable-baselines3
tags:
  - LunarLander-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: >-
      PPO/policty_MlpPolicy/env_LunarLander-v2/lr_0.003/nsteps_2048/batchsize_64/nepochs_10/gamma_0.99/gae_0.95
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2
        metrics:
          - type: mean_reward
            value: 267.17 +/- 22.88
            name: mean_reward
            verified: false

PPO/policty_MlpPolicy/env_LunarLander-v2/lr_0.003/nsteps_2048/batchsize_64/nepochs_10/gamma_0.99/gae_0.95 Agent playing LunarLander-v2

This is a trained model of a PPO/policty_MlpPolicy/env_LunarLander-v2/lr_0.003/nsteps_2048/batchsize_64/nepochs_10/gamma_0.99/gae_0.95 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

...