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andyv237/ppo-CartPole-v1
ppo-CartPole-v1 is a reinforcement learning model from andyv237. 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.
Downloads · 30 days
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Updated Apr 3, 2026
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From the Hugging Face model README
This is a trained model of a PPO agent playing CartPole-v1.
{'gym_id': 'CartPole-v1'
'env_id': 'CartPole-v1'
'capture_video': False
'seed': 1
'num_envs': 4
'run_name': 'Run-1'
'total_timesteps': 25000
'learning_rate': 0.001
'num_steps': 128
'batch_size': 512
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 4
'minibatch_size': 128
'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}