---
tags:
- myenv-v1
- 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: myenv-v1
      type: myenv-v1
    metrics:
    - type: mean_reward
      value: -0.10 +/- 0.00
      name: mean_reward
      verified: false
---

      # PPO Agent Playing myenv-v1
    
      This is a trained model of a PPO agent playing myenv-v1.
        
      # Hyperparameters
      ```python
      {'exp_name': 'ppo_no_pbt'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'myenv-v1'
'total_timesteps': 500000
'learning_rate': 0.00025
'num_envs': 1
'num_steps': 2048
'anneal_lr': True
'anneal_ent_coef': False
'anneal_clip_coef': False
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 64
'update_epochs': 3
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.03
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'MRNH/myenv-v1'
'save_path': 'agent.pt'
'save_every': 10
'batch_size': 2048
'minibatch_size': 32}
      ```