| tags: | |
| - CartPole-v1 | |
| - ppo | |
| - reinforcement-learning | |
| - custom-implementation | |
| - deep-rl-class | |
| model-index: | |
| - name: CleanRLTest | |
| results: | |
| - metrics: | |
| - type: mean_reward | |
| value: 232.20 +/- 102.47 | |
| name: mean_reward | |
| task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: CartPole-v1 | |
| type: CartPole-v1 | |
| # **PPO** Agent playing | |
| This is a trained model of a ***PPO** agent playing CartPole-v1. | |
| To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit5 | |
| {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128} | |
| Boom | |