TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-Stage Self-Play for Multi-Constrained Electric Vehicle Routing Problems

Deep reinforcement learning (DRL) with self-play has emerged as a promising paradigm for solving combinatorial optimization (CO) problems. The recently proposed Gumbel AlphaZero Plan-to-Play (GAZ PTP) framework adopts a competitive training setup between a learning agent and an opponent to tackle cl...

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Auteurs principaux:	Hui Wang, Xufeng Zhang, Chaoxu Mu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-01-01
Collection:	Smart Cities
Sujets:	deep reinforcement learning self-play strategy electric vehicle routing problem combinatorial optimization problem Monte Carlo Tree Search
Accès en ligne:	https://www.mdpi.com/2624-6511/9/2/21
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