Shiqi Chen

Model-free in situ training of diffractive optical processors via proximal policy optimization for stable and sample-efficient learning

We present a model-free in situ training framework for diffractive optical processors based on Proximal Policy Optimization (PPO), a reinforcement learning algorithm designed for stable and sample-efficient policy updates. By enabling multiple optimization steps using the same set of captured optical measurements while...