Yanhai Xiong

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning

Reinforcement learning (RL) has emerged as a promising tool for combinatorial optimization (CO) problems due to its ability to learn fast, effective, and generalizable solutions. Nonetheless, existing works mostly focus on one-shot deterministic CO, while sequential stochastic CO (SSCO) has rarely…