PPO LunarLander
Model trained with Proximal Policy Optimization (PPO) using PyTorch and Gymnasium's LunarLander-v3 environment.
- Environment: LunarLander-v3
- Algorithm: PPO
- Training timesteps: 50,000
- Framework: PyTorch
- Model file:
ppo_lunarlander.pth
This repository was created as part of the Hugging Face Deep Reinforcement Learning course, Unit 8.