File size: 1,227 Bytes
dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 1f3eb2f dcc51e4 |
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 49 50 51 52 53 54 55 56 57 58 59 60 61 |
---
tags:
- LunarLander-v2
- 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: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: -31.80 +/- 97.97
name: mean_reward
verified: false
---
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'repo_id': 'DContrerasF/ppo-own-LunarLander-v2'
'exp_name': 'ppo'
'gym_id': 'LunarLander-v2'
'learning_rate': 0.0005269970016124116
'seed': 1
'total_timesteps': 1000000
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'DeepRL'
'wandb_entity': None
'capture_video': False
'num_envs': 10
'num_steps': 2048
'anneal_lr': True
'gae': True
'gamma': 0.9951574251249592
'gae_lambda': 0.9195370888469532
'num_minibatches': 4
'update_epochs': 4
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.0293151073593913
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'batch_size': 20480
'minibatch_size': 5120}
```
|