Dekang Kong

Deep Reinforcement Learning for Combinatorial Optimization Problems: A Challenge-Driven Methodology and Systematic Review

This work proposes a unified challenge-driven framework consisting of four core components: an environment, a state–action–reward mechanism, a solver, and an evaluation module, and conducts a systematic review of approximately 300 recent studies, mapping the evolution of challenges and the progress made in addressing t...