---
tags:
- AntBulletEnv-v0
- 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: AntBulletEnv-v0
      type: AntBulletEnv-v0
    metrics:
    - type: mean_reward
      value: 455.82 +/- 18.68
      name: mean_reward
      verified: false
---

  # PPO Agent Playing AntBulletEnv-v0

  This is a trained model of a PPO agent playing AntBulletEnv-v0.

  # Hyperparameters
  ```python
  {'exp_name': 'parse_args'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': True
'wandb_project_name': 'PPO-RL'
'wandb_entity': None
'capture_video': False
'env_id': 'AntBulletEnv-v0'
'total_timesteps': 2000000
'learning_rate': 0.0003
'num_envs': 4
'num_steps': 2048
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 32
'update_epochs': 10
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.0
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': 0.02
'repo_id': 'kismet163/PPO-RL'
'batch_size': 8192
'minibatch_size': 256}
  ```