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ppo-LunarLander-v2
wlchee/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from wlchee. 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.
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Public
Updated Mar 21, 2025
Repo size
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- e37429e1
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.
## Performance
- Mean Reward: 195.00
- Std Reward: 102.41
## Hyperparameters
```python
{'exp_name': 'ppo'
'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': 'wlchee/ppo-LunarLander-v2' 'hf_token': None 'batch_size': 512 'minibatch_size': 128} ```
- Task
- Reinforcement Learning
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025