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ppo-LunarLander-v2
proyrb/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from proyrb. 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. - Mean Reward: -56.14 ± 76.83 - Number of Evaluation Episodes: 10 {'envid': 'LunarLander-v2' 'totaltimesteps': 100000 'learningrate': 0.0003 'numenvs': 8…
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Updated Jun 16, 2025
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- 7d77c5a5
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.
## Evaluation Results
- Mean Reward: -56.14 ± 76.83
- Number of Evaluation Episodes: 10
## Hyperparameters
```python
{'env_id': 'LunarLander-v2'
'total_timesteps': 100000 'learning_rate': 0.0003 'num_envs': 8 'num_steps': 2048 'update_epochs': 10 'num_minibatches': 32 'clip_coef': 0.5 'seed': 136 'repo_id': 'proyrb/ppo-LunarLander-v2' 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'norm_adv': True 'clip_vloss': True 'ent_coef': 0.01 'vf_coef': 0.5 'max_grad_norm': 0.5 'target_kl': None 'batch_size': 16384 'minibatch_size': 512}
- Task
- Reinforcement Learning
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025