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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: 283.68 +/- 23.30
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'
'learning_rate': 0.0007
'gamma': 0.98
'gae_lambda': 0.95
'clip_coef': 0.2
'total_timesteps': 50000000
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'epsilon': 0.01
'num_minibatches': 4
'update_epochs': 4}
```
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