PPO LunarLander-v2
PPO agent trained from scratch using PyTorch.
Environment
LunarLander-v2
Training
- Algorithm: PPO
- Total timesteps: 50,000
- Learning rate: 2.5e-4
- Gamma: 0.99
- GAE lambda: 0.95
- Clip coefficient: 0.2
Evaluation
10 evaluation episodes.
- Mean reward: -157.42
- Standard deviation: 56.44
- Certification result: -213.87
- Downloads last month
- 16
Evaluation results
- Mean reward on LunarLander-v2self-reported-157.420
- Standard deviation on LunarLander-v2self-reported56.440