metadata
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: 186.40 +/- 49.43
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': 'unit8_part1',
'gym_id': 'CartPole-v1', 'learning_rate': 0.00025, 'seed': 1, 'total_timesteps': 100000, 'torch_deterministic': True, 'cuda': True, 'track': False, 'wandb_project_name': 'ppo-implementation-details', 'wandb_entity': None, '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': 'tmoroder/ppo-CartPole-v1', 'batch_size': 512, 'minibatch_size': 128} ```