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MakiPan/ppo-CartPole-v1
ppo-CartPole-v1 is a reinforcement learning model from MakiPan. 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 Mar 26, 2023
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
{'exp_name': 'ppo'
'gym_id': 'LunarLander-v2'
'learning_rate': 0.0003
'seed': 1337
'max_timesteps': 1000000
'torch_deterministic': True
'cuda_enabled': True
'num_envs': 4
'num_steps': 256
'anneal_lr': True
'gae': True
'gae_lambda': 0.95
'gamma': 0.99
'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': 'MakiPan/ppo-CartPole-v1'
'batch_size': 1024
'minibatch_size': 256}