README.md

---
tags:
- HealthGatheringSupreme-v1
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
- sample-factory
model-index:
- name: PPO
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: doom_health_gathering_supreme
      type: doom_health_gathering_supreme
    metrics:
    - type: mean_reward
      value: 18.30 +/- 8.82
      name: mean_reward
      verified: false
---

  # PPO Agent Playing HealthGatheringSupreme-v1

  This is a trained model of a PPO agent playing HealthGatheringSupreme-v1 using a custom 
  CleanRL PPO implementation (not sample factory).

  # Hyperparameters
  ```python
  {'env_id': 'HealthGatheringSupreme-v1'
'learning_rate': 0.0001
'learning_rate_min': 1e-06
'gamma': 0.99
'gae_lambda': 0.95
'clip_coef': 0.2
'total_timesteps': 10000000
'recurrence': 32
'ent_coef': 0.001
'vf_coef': 0.5
'max_grad_norm': 0.5
'num_minibatches': 4
'update_epochs': 1
'frame_skip': 4}
  ```