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MRNH/LunarLander-v2
LunarLander-v2 is a reinforcement learning model from MRNH. 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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Updated Aug 14, 2023
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1 'torch_deterministic': True 'cuda': True 'track': True 'wandb_project_name': 'RL-Spacecraft' 'wandb_entity': 'romano-1783252' 'capture_video': False 'env_id': 'LunarLander-v2' 'total_timesteps': 1000000 'learning_rate': 0.001 'num_envs': 4 'num_steps': 1024 'anneal_lr': True 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'num_minibatches': 64 'update_epochs': 3 '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': 'MRNH/LunarLander-v2' 'batch_size': 4096 'minibatch_size': 64} ```