README.md

metadata

library_name: stable-baselines3
tags:
  - LunarLander-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: PPO MLP Policy Architecture
    results:
      - metrics:
          - type: mean_reward
            value: 143.60 +/- 115.75
            name: mean_reward
        task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2

PPO MLP Policy Architecture Agent playing LunarLander-v2

This is a trained model of a PPO MLP Policy Architecture agent playing LunarLander-v2 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code