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ppo-LunarLander-v3
mgmeskill/ppo-LunarLander-v3
ppo-LunarLander-v3 is a reinforcement learning model from mgmeskill. 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.
Access
Public
Updated Aug 14, 2023
Repo size
8.7 MB
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0
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Repo makeup
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.41.7 MB · 22%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Aug 12, 2023
- Updated
- Aug 14, 2023
- SHA
- 60076bb6
Model card
From the Hugging Face model README
PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
Hyperparameters
{'exp_name': 'LunarLander-v3'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'f': '/root/.local/share/jupyter/runtime/kernel-b1e556d7-bdda-4e73-8875-1705f0553981.json'
'env_id': 'LunarLander-v2'
'total_timesteps': 1000000
'learning_rate': 0.002
'num_envs': 4
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.88
'num_minibatches': 8
'update_epochs': 3
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.0009
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'mgmeskill/ppo-LunarLander-v3'
'batch_size': 512
'minibatch_size': 64}
- Task
- Reinforcement Learning
- Created
- Aug 12, 2023
- Updated
- Aug 14, 2023