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execbat/ppo-LunarLander-v2-unit-8
ppo-LunarLander-v2-unit-8 is a reinforcement learning model from execbat. 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 2, 2024
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
{'exp_name': 'runfile'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 5000000
'learning_rate': 0.003
'num_envs': 16
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 8
'update_epochs': 8
'norm_adv': True
'clip_coef': 0.5
'clip_vloss': True
'ent_coef': 0.002
'vf_coef': 0.2
'max_grad_norm': 0.2
'target_kl': None
'repo_id': 'execbat/ppo-LunarLander-v2-unit-8'
'batch_size': 2048
'minibatch_size': 256}