
  # 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}
  ```
  
{"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}]}]}]}
CartPole-v1 ppo deep-reinforcement-learning reinforcement-learning custom-implementation deep-rl-course model-index region:us
TAGS
#CartPole-v1 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us 


  # PPO Agent Playing CartPole-v1

  This is a trained model of a PPO agent playing CartPole-v1.
    
  # Hyperparameters
  
  
# PPO Agent Playing CartPole-v1

  This is a trained model of a PPO agent playing CartPole-v1.
    
  # Hyperparameters
TAGS
#CartPole-v1 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us 
 # PPO Agent Playing CartPole-v1

  This is a trained model of a PPO agent playing CartPole-v1.
    
  # Hyperparameters
TAGS
#CartPole-v1 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us 
# PPO Agent Playing CartPole-v1

  This is a trained model of a PPO agent playing CartPole-v1.
    
  # Hyperparameters