PPO Deep Reinforcement Learning Control Example

PPO DRL continuous control example with customized environment based on Deep Learning Toolbox

This fileexchange provides a clean, modular implementation of the Proximal Policy Optimization (PPO) algorithm with clipping (PPO‑Clip) using MATLAB® and the Deep Learning Toolbox™. It is tailored for continuous action spaces and can be easily adapted to any custom environment by simply replacing the environment functions.

The core algorithm is built entirely with dlnetwork objects, enabling automatic differentiation, GPU acceleration, and full compatibility with custom training loops.