File size: 1,152 Bytes
d2a6044 |
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 |
---
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: 277.79 +/- 24.31
name: mean_reward
verified: false
---
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'main'
'gym_id': 'LunarLander-v2'
'lr': 0.004234982547109355
'seed': 1
'total_timesteps': 5000000
'torch_deterministic': True
'cuda': True
'num_envs': 32
'num_steps': 256
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.8
'num_minibatches': 128
'update_epochs': 20
'norm_adv': False
'clip_coef': 0.1
'vl_clip': True
'ent_coef': 0.00023233247122755093
'vf_coef': 0.6401567434560633
'max_grad_norm': 0.3
'target_kl': 0.012736232712398961
'batch_size': 8192
'minibatch_size': 64
'repo_id': 'Statos6/ppo-cleanRL-LunarLander-v2'
'env_id': 'LunarLander-v2'}
```
|