---
tags:
- Deathmatch-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: Deathmatch-v1
      type: Deathmatch-v1
    metrics:
    - type: mean_reward
      value: 38.03 +/- 26.60
      name: mean_reward
      verified: false
---

  # PPO Agent Playing Deathmatch-v1

  This is a trained model of a PPO agent playing Deathmatch-v1.

  # Hyperparameters
  ```python
  {'env_id': 'Deathmatch-v1'
'num_envs': 32
'num_steps': 128
'learning_rate': 0.00025
'learning_rate_min': 0.0001
'gamma': 0.99
'gae_lambda': 0.95
'clip_coef': None
'total_timesteps': 10000000
'recurrence': 32
'ent_coef': 0.001
'vf_coef': 0.5
'max_grad_norm': 0.1
'num_minibatches': 4
'update_epochs': 1
'frame_skip': 4}
  ```