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cs.AI2023
Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?
Ankur Nath, Alan Kuhnle
In recent years, combining neural networks with local search heuristics has become popular in the field of combinatorial optimization. Despite its considerable computational demand…
cs.LG2023
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization
Yuanhang Shao, Tonmoy Dey, Nikola Vuckovic +2
Combinatorial optimization (CO) aims to efficiently find the best solution to NP-hard problems ranging from statistical physics to social media marketing. A wide range of CO applic…
cs.GT2023
Learning Strategic Value and Cooperation in Multi-Player Stochastic Games through Side Payments
Yixin Chen, Jeffrey Richley, Darleen Perez-Lavin +3
We study general-sum, multi-player stochastic games with transferable utility, motivated by settings where agents can use side payments to make cooperation individually rational. B…