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---
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}
```
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