Learning to schedule job-shop problems: Representation and policy
learning using graph neural network and reinforcement learning

Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

2 June 2021

Junyoung Park

Jinkyoo Park

Papers citing "Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning"

16 / 16 papers shown

Title
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem Lotfi Kobrosly Marc-Emmanuel Coupvent des Graviers Christophe Guettier Tristan Cazenave 80 0 0 13 May 2025
Learning Heuristics over Large Graphs via Deep Reinforcement Learning S. Manchanda A. Mittal Anuj Dhawan Sourav Medya Sayan Ranu Ambuj K. Singh AI4CE GNN 54 87 0 08 Mar 2019
Differentiable Physics-informed Graph Networks Sungyong Seo Yan Liu PINN AI4CE 73 67 0 08 Feb 2019
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Qifeng Chen V. Koltun GNN 94 475 0 25 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 240 7,653 0 01 Oct 2018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP Marcelo O. R. Prates Pedro H. C. Avelar Henrique Lemos Luís C. Lamb Moshe Y. Vardi GNN 58 177 0 08 Sep 2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations Zhilin Yang Jiaqi Zhao Bhuwan Dhingra Kaiming He William W. Cohen Ruslan Salakhutdinov Yann LeCun 42 36 0 14 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 758 3,121 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 202 600 0 04 Jun 2018
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks Yoav Kaempfer Lior Wolf 63 71 0 26 Mar 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 118 1,207 0 22 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 496 19,019 0 20 Jul 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 108 1,469 0 05 Apr 2017
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013