File size: 889 Bytes
80e4bbc 1fbb9ef 80e4bbc e56e479 5fe55ea 1fbb9ef 80e4bbc e56e479 1fbb9ef 80e4bbc e56e479 80e4bbc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
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}
```
|