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ppo-LunarLander-v2
LOGQS/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from LOGQS. 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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Repo size
2.6 MB
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.02.6 MB · 97%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jun 23, 2023
- Updated
- Jun 23, 2023
- SHA
- 538f5b89
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': 'main'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': True
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 10000000
'learning_rate': 0.0005
'num_envs': 32
'num_steps': 256
'anneal_lr': True
'gamma': 0.99
'gae_lambda': 0.98
'num_minibatches': 4
'update_epochs': 8
'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': 'LOGQS/ppo-LunarLander-v2'
'batch_size': 8192
'minibatch_size': 2048}
- Task
- Reinforcement Learning
- Created
- Jun 23, 2023
- Updated
- Jun 23, 2023