
  # **PPO** Agent playing 
  This is a trained model of a ***PPO** agent playing CartPole-v1.
  To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit5
  {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128}

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{"tags": ["CartPole-v1", "ppo", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "CleanRLTest", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean_reward", "value": "232.20 +/- 102.47", "name": "mean_reward"}]}]}]}
CartPole-v1 ppo reinforcement-learning custom-implementation deep-rl-class model-index region:us
TAGS
#CartPole-v1 #ppo #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us 


  # PPO Agent playing 
  This is a trained model of a *PPO agent playing CartPole-v1.
  To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: URL
  {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128}

  Boom
  
# PPO Agent playing 
  This is a trained model of a *PPO agent playing CartPole-v1.
  To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: URL
  {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128}

  Boom
TAGS
#CartPole-v1 #ppo #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us 
 # PPO Agent playing 
  This is a trained model of a *PPO agent playing CartPole-v1.
  To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: URL
  {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128}

  Boom
passage: TAGS
#CartPole-v1 #ppo #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us 
# PPO Agent playing 
  This is a trained model of a *PPO agent playing CartPole-v1.
  To learn to use this model and train yours check Unit 8 of the Deep Reinforcement Learning Class: URL
  {'exp_name': 'ppo', 'seed': 1, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'cleanRL', 'wandb_entity': None, 'capture_video': False, 'env_id': 'CartPole-v1', 'total_timesteps': 50000, 'learning_rate': 0.00025, '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, 'batch_size': 512, 'minibatch_size': 128}

  Boom