Mengmeng Zhang

From Power Concentration to Structured Light Generation: Scalable, Efficient and Generalizable Coherent Beam Combination With Model‐Based Reinforcement Learning

This work proposes a model‐based reinforcement learning (MBRL) framework that enables intelligent phase control by effectively emulating CBC system dynamics via a physics‐informed environment model, and establishes a powerful paradigm for integrating MBRL into high‐power optical field modulation.