Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

5 September 2024

Laurin Luttmann

Junyoung Park

Changhyun Kwon

Lin Xie

Jinkyoo Park

Papers citing "Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization"

7 / 7 papers shown

Title
USPR: Learning a Unified Solver for Profiled Routing Chuanbo Hua Federico Berto Zhikai Zhao Jiwoo Son Changhyun Kwon Jinkyoo Park 44 0 0 08 May 2025
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 62 39 0 22 Sep 2022
DevFormer: A Symmetric Transformer for Context-Aware Device Placement Haeyeon Kim Minsu Kim Federico Berto Joungho Kim Jinkyoo Park 49 14 0 26 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 76 79 0 26 May 2022
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 60 299 0 23 Oct 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 104 139 0 13 Feb 2020
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 71 1,450 0 29 Nov 2016