Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...