README.md

metadata

tags:
  - CartPole-v1
  - deep-reinforcement-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: ppo
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: CartPole-v1
          type: CartPole-v1
        metrics:
          - type: training_episodic_return
            value: 22.37 +/- 10.05
            name: training_episodic_return
            verified: false

(CleanRL) PPO Agent Playing CartPole-v1

This is a trained model of a PPO agent playing CartPole-v1. To learn to code your own PPO agent and train it Unit 8 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit8

Hyperparameters

{'anneal_lr': True,
 'batch_size': 512,
 'capture_video': True,
 'clip_coef': 0.2,
 'clip_vloss': True,
 'cuda': False,
 'ent_coef': 0.01,
 'env_id': 'CartPole-v1',
 'exp_name': 'ppo',
 'gae_lambda': 0.95,
 'gamma': 0.99,
 'hf_repo_id': 'cleanrl/ppo',
 'learning_rate': 0.00025,
 'max_grad_norm': 0.5,
 'minibatch_size': 128,
 'norm_adv': True,
 'num_envs': 4,
 'num_minibatches': 4,
 'num_steps': 128,
 'seed': 1,
 'target_kl': None,
 'torch_deterministic': True,
 'total_timesteps': 500000,
 'track': False,
 'update_epochs': 4,
 'vf_coef': 0.5,
 'wandb_entity': None,
 'wandb_project_name': 'cleanRL'}