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---
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: 251.74 +/- 17.34
name: mean_reward
verified: false
---
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'env_id': 'LunarLander-v2'
'seed': 1
'num_envs': 16
'pi_hidden_layers': (64
64)
'v_hidden_layers': (64
64)
'learning_rate': 0.0003
'anneal_lr': False
'total_timesteps': 1000000
'num_steps': 1024
'gamma': 0.999
'gae_lambda': 0.98
'num_minibatches': 256
'num_epochs': 4
'norm_advantage': False
'clip_coef': 0.2
'clip_vloss': False
'vf_coef': 1.0
'ent_coef': 0.01
'max_grad_norm': 0.5
'target_kl': None}
```
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