Deep Reinforcement Learning for Multi-Sequence Combinatorial Optimization Problems
Dai Zhang, Xue Zhang · 2025
We propose a formulation for solving sequential combinatorial optimization problems (COP) by deep reinforcement learning (DRL) method. Some types of decision problems can be reduced to sequence combination optimization problems(SCOP) , such as knapsack problems, flow-shop problems, etc. Besides some