---
tags:
- CartPole-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: CartPole-v1
      type: CartPole-v1
    metrics:
    - type: mean_reward
      value: 500.00 +/- 0.00
      name: mean_reward
      verified: false
---

  # PPO Agent Playing CartPole-v1

  This is a trained model of a PPO agent playing CartPole-v1.
    
  # Hyperparameters
  ```python
  {'env_id': 'CartPole-v1'
'seed': 1
'num_envs': 8
'pi_hidden_layers': (64
64)
'v_hidden_layers': (64
64)
'learning_rate': 0.001
'anneal_lr': True
'total_timesteps': 100000
'num_steps': 32
'gamma': 0.98
'gae_lambda': 0.8
'num_minibatches': 1
'num_epochs': 20
'norm_advantage': True
'clip_coef': 0.2
'clip_vloss': True
'vf_coef': 0.5
'ent_coef': 0.0
'max_grad_norm': 0.5
'target_kl': None}
  ```