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metadata
tags:
  - LunarLander-v2
  - ppo
  - deep-reinforcement-learning
  - reinforcement-learning
  - custom-implementation
  - deep-rl-course
model-index:
  - name: PPO
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2
        metrics:
          - type: mean_reward
            value: '-40.69 +/- 45.46'
            name: mean_reward
            verified: false
# PPO Agent Playing CartPole-v1

This is a trained model of a PPO agent playing CartPole-v1.
    
# Hyperparameters
```python
{'exp_name': 'argument_parser'

'gym_id': 'CartPole-v1' 'learning_rate': 0.00025 'seed': 1 'total_timesteps': 25000 'torch_deterministic': True 'cuda': False 'mac_gpu': False 'capture_video': False '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 'repo_id': 'WokeEngineer/Custom-PPO-CartPole-v1' 'batch_size': 512 'minibatch_size': 128} ```