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jrauch4/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from jrauch4. 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 Apr 18, 2023
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.mp4120 KB · 55%
From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
{'seed': 1
'env_id': 'LunarLander-v2'
'total_timesteps': 100000
'num_envs': 8
'num_steps': 128
'gamma': 0.99
'gae_lambda': 0.95
'learning_rate': 0.0003
'clip_range': 0.2
'value_loss_coef': 0.5
'entropy_loss_coef': 0.01
'max_grad_norm': 0.5
'update_epochs': 4
'mini_batch_size': 64
'eval_freq': 10
'no_cuda': False
'repo_id': 'jrauch/ppo-{env}'}