guest@minsoo.blog:~/projects$ cd PPO-scratch
guest@minsoo.blog:~/projects/PPO-scratch$ cat README.md
PPO-scratch
Description
- A complete implementation of the Proximal Policy Optimization (PPO) algorithm from scratch, compatible with OpenAI Gym/Gymnasium API.
Features
- Gymnasium Compatible: Compatible with any Gymnasium environment (discrete or continuous)
- Training Utilities: Includes training scripts with progress tracking and visualization
- Model Persistence: Save and load trained models with automatic compatibility checking
Tech Stack
- ML framework: pytorch, gymnasium
guest@minsoo.blog:~/projects/PPO-scratch$ cd ..