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ppo-Lunar-Lander-v2
basil-ahmad/ppo-Lunar-Lander-v2
ppo-Lunar-Lander-v2 is a reinforcement learning model from basil-ahmad. 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 CartPole-v1.
Access
Public
Updated Apr 10, 2024
Repo size
148 KB
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.2108 KB · 62%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024
- SHA
- 677509b9
Model card
From the Hugging Face model README
PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
Hyperparameters
{'exp_name': '/root/.local/share/jupyter/runtime/kernel-b1251b3f-0560-43f9-a6d6-1db6758e48f1.json'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'CartPole-v1'
'total_timesteps': 50000
'learning_rate': 0.00025
'num_envs': 4
'num_steps': 128
'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': 'ThomasSimonini/ppo-CartPole-v1'
'batch_size': 512
'minibatch_size': 128}
- Task
- Reinforcement Learning
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024