ScheduleNet: Learn to solve multi-agent scheduling problems with
reinforcement learning

ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

6 June 2021

Junyoung Park

Sanjar Bakhtiyar

Jinkyoo Park

Papers citing "ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning"

7 / 7 papers shown

Title
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Lars C.P.M. Quaedvlieg 63 0 0 31 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
Policy-Based Self-Competition for Planning Problems Jonathan Pirnay Q. Göttl Jakob Burger D. G. Grimm 36 3 0 07 Jun 2023
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang Zhiguang Cao Wen Song Puay Siew Tan Jie Zhang 17 17 0 20 Nov 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems Minjun Kim Junyoung Park Jinkyoo Park 29 2 0 06 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 76 80 0 26 May 2022
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie Zhang Puay Siew Tan Chi Xu 60 302 0 23 Oct 2020