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cs.AI2023
Contrastive Explanations of Centralized Multi-agent Optimization Solutions
Parisa Zehtabi, Alberto Pozanco, Ayala Bloch +2
In many real-world scenarios, agents are involved in optimization problems. Since most of these scenarios are over-constrained, optimal solutions do not always satisfy all agents.…
cs.LG2023★ 1 cited
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
Kyle Mana, Fernando Acero, Stephen Mak +4
Discrete optimization belongs to the set of -hard problems, spanning fields such as mixed-integer programming and combinatorial optimization. A current standard appro…