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Paperbag/ppo-CartPole-v1
ppo-CartPole-v1 is a reinforcement learning model from Paperbag. 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 CartPole-v1.
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Updated Apr 3, 2023
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From the Hugging Face model README
This is a trained model of a PPO agent playing CartPole-v1.
{'exp_name': 'ppo'
'gym_id': 'CartPole-v1'
'learning_rate': 0.00025
'seed': 1
'total_timesteps': 25000
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'ppo-implementation-details'
'wandb_entity': None
'capture_video': False
'repo_id': 'Paperbag/ppo-CartPole-v1'
'env_id': 'CartPole-v1'
'num_envs': 4
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'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}