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ppo-LunarLander-v3-custom
J-76gbjhdfs/ppo-LunarLander-v3-custom
ppo-LunarLander-v3-custom is a reinforcement learning model from J-76gbjhdfs. 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.
Access
Public
Updated Apr 13, 2026
Repo size
64.8 KB
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Repo makeup
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.pt43.4 KB · 45%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Apr 13, 2026
- Updated
- Apr 13, 2026
- SHA
- 9373a095
Model card
From the Hugging Face model README
PPO Agent Playing LunarLander-v3
This is a trained model of a PPO agent playing LunarLander-v3.
Mean reward: -159.71 +/- 101.60
Hyperparameters
{'exp_name': 'ppo',
'seed': 1,
'torch_deterministic': True,
'cuda': True,
'track': False,
'wandb_project_name': 'cleanRL',
'wandb_entity': None,
'capture_video': False,
'env_id': 'LunarLander-v3',
'total_timesteps': 50000,
'learning_rate': 0.00025,
'num_envs': 4,
'num_steps': 64,
'anneal_lr': True,
'gae': True,
'gamma': 0.99,
'gae_lambda': 0.95,
'num_minibatches': 4,
'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': 'J-76gbjhdfs/ppo-LunarLander-v3-custom'}
- Task
- Reinforcement Learning
- Created
- Apr 13, 2026
- Updated
- Apr 13, 2026