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FlandreS/HF_DRL_PPO
HF_DRL_PPO is a reinforcement learning model from FlandreS. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained model of a PPO agent playing LunarLander-v3.
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Updated Jun 7, 2026
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v3.
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': False
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v3'
'total_timesteps': 1000000
'learning_rate': 0.00025
'num_envs': 8
'num_steps': 256
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 8
'update_epochs': 4
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'FlandreS/HF_DRL_PPO'
'batch_size': 2048
'minibatch_size': 256}