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zengxii/LunarLander-v2-optimized
LunarLander-v2-optimized is a reinforcement learning model from zengxii. 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-v2.
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Updated Jun 17, 2025
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
{'exp_name': 'notebook'
'seed': 346
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 200000
'learning_rate': 0.0001
'num_envs': 8
'num_steps': 256
'anneal_lr': True
'gae': True
'gamma': 0.995
'gae_lambda': 0.97
'num_minibatches': 4
'update_epochs': 10
'norm_adv': True
'clip_coef': 0.1
'clip_vloss': True
'ent_coef': 0.02
'vf_coef': 0.8
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'zengxii/LunarLander-v2-optimized'
'batch_size': 2048
'minibatch_size': 512}