APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study
arXiv:2609.18219v1 Announce Type: cross Abstract: Quantum Reinforcement Learning (QRL) represents policies as variational quantum circuits (VQCs), making it attractive for combinatorial optimization such as the Capacitated Vehicle Routing Problem…
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Published3 d ago (Thu, 17 Sep 2026 04:00:00 GMT)
RetrievedThu, 17 Sep 2026 15:30:40 GMT via rss
ClassifiedThu, 17 Sep 2026 15:30:51 GMT by heuristic
AuthorShabir Ahmad Sofi, Bisma Majid, Mir Mohammad Yousuf