most citedModel-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization

5 citations · 5 across the 1 of their papers we have counts for

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cs.LG2025★ 5 cited

Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization

Yuhang Li, Shiqi Chen, Tingyu Gong +1

Optical computing holds promise for high-speed, energy-efficient information processing, with diffractive optical networks emerging as a flexible platform for implementing task-spe…