PPO Agent Playing LunarLander
A PPO agent written from scratch in PyTorch (CleanRL-style) for Unit 8 of the Hugging Face Deep RL Course. Trained on gymnasium LunarLander-v3 (the maintained version of LunarLander-v2).
Hyperparameters
{"seed": 1, "num_envs": 16, "num_steps": 1024, "total_timesteps": 5000000, "learning_rate": 0.0003, "gamma": 0.999, "gae_lambda": 0.98, "num_minibatches": 4, "update_epochs": 4, "clip_coef": 0.2, "ent_coef": 0.01, "vf_coef": 0.5}
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Evaluation results
- mean_reward on LunarLander-v2self-reported124.10 +/- 39.64