README.md

metadata

library_name: stable-baselines3
tags:
  - LunarLander-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: 'PPO: MlpPolicy,steps=1024,batch=64,epochs=8,gamma=0.999,gae=0.98,ent=0.01'
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2
        metrics:
          - type: mean_reward
            value: 267.86 +/- 17.23
            name: mean_reward
            verified: false

PPO: MlpPolicy,steps=1024,batch=64,epochs=8,gamma=0.999,gae=0.98,ent=0.01 Agent playing LunarLander-v2

This is a trained model of a PPO: MlpPolicy,steps=1024,batch=64,epochs=8,gamma=0.999,gae=0.98,ent=0.01 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

...