Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

4 October 2023

Ardeshir Shojaeinasab

Homayoun Najjaran

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Papers citing "Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions"

39 / 39 papers shown

Title
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 92 4 0 04 Oct 2024
Learning to Solve Job Shop Scheduling under Uncertainty Guillaume Infantes Stéphanie Roussel Pierre Pereira Antoine Jacquet Emmanuel Benazera 56 3 0 04 Mar 2024
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning Runqing Wang G. Wang Jian Sun Fang Deng Jie Chen 50 37 0 09 May 2023
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo Yeong-Dae Kwon Jihoon Kim Jeongwoo Jae André Hottung Kevin Tierney Youngjune Gwon 78 70 0 13 Jul 2022
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Junyoung Park J. Chun Sang Hun Kim Youngkook Kim Jinkyoo Park GNN 44 214 0 02 Jun 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 57 358 0 18 Feb 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon Jinho Choo Byoungjip Kim Iljoo Yoon Youngjune Gwon Seungjai Min 94 333 0 30 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie Zhang Puay Siew Tan Chi Xu 108 307 0 23 Oct 2020
Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19 Chen-Xin Wu Min-Hui Liao M. Karatas Shengyong Chen Yujun Zheng 68 36 0 28 Jul 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 137 1,815 0 08 Jun 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 65 146 0 22 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 92 623 0 07 Mar 2020
Manufacturing Dispatching using Reinforcement and Transfer Learning Yu Yang Chetan Gupta Susumu Serita OffRL 36 18 0 04 Oct 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 77 255 0 21 Aug 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,389 0 15 Nov 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 Perform Local Rewriting for Combinatorial Optimization Xinyun Chen Yuandong Tian NAI OffRL 114 348 0 30 Sep 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 150 1,671 0 30 Mar 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 118 1,214 0 22 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,138 0 30 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,816 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,485 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 905 0 03 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 186 597 0 28 Feb 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 158 1,490 0 29 Nov 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 980 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 96 1,019 0 09 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 626 29,051 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,873 0 03 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 197 8,859 0 04 Feb 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,641 0 22 Sep 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 118 3,055 0 09 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 588 12,704 0 11 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 558 27,311 0 01 Sep 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