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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-01-01
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| Serie: | Smart Cities |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2624-6511/9/2/21 |
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