README.md

metadata

library_name: stable-baselines3
tags:
  - LunarLander-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: PPO
    results:
      - metrics:
          - type: mean_reward
            value: 282.71 +/- 20.92
            name: mean_reward
        task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2

PPO Agent playing LunarLander-v2

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

Usage (with Stable-baselines3)

Parameters

model = PPO(
policy = "MlpPolicy",
env = env,
learning_rate = 0.0001,
n_steps = 1024,
batch_size = 32,
n_epochs = 16,
gamma = 0.999,
ent_coef = 0.01,
verbose = 1
)