PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using PyTorch CleanRL implementation.
Evaluation Results
Mean Reward: 280.50 +/- 15.20 Result Score (Mean - Std): 265.30
Hyperparameters
learning_rate: 0.00025
num_envs: 4
num_steps: 128
total_timesteps: 300000
gamma: 0.99
gae_lambda: 0.95
Evaluation results
- mean_reward on LunarLander-v2self-reported280.50 +/- 15.20