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Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling

16 September 2024

Papers citing "Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling"

28 / 28 papers shown

Title
Graph Neural Networks for Job Shop Scheduling Problems: A Survey Igor G. Smit Jianan Zhou Robbert Reijnen Yaoxin Wu Jian Chen Cong Zhang Zaharah Bukhsh Wim P. M. Nuijten Yingqian Zhang GNN AI4CE 117 11 0 20 Jun 2024
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong Aviral Kumar Sathwik Karnik Abhishek Bhandwaldar Akash Srivastava Joni Pajarinen Romain Laroche Abhishek Gupta Pulkit Agrawal OffRL 86 22 0 06 Oct 2023
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods Robbert Reijnen Kjell van Straaten Zaharah Bukhsh Yingqian Zhang Zaharah Bukhsh Yingqian Zhang 92 7 0 24 Aug 2023
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming Pierre Tassel Martin Gebser Konstantin Schekotihin 57 20 0 09 Jun 2023
Survival Instinct in Offline Reinforcement Learning Anqi Li Dipendra Kumar Misra Andrey Kolobov Ching-An Cheng OffRL 93 18 0 05 Jun 2023
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning Runqing Wang G. Wang Jian Sun Fang Deng Jie Chen 75 44 0 09 May 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar Anika Singh F. Ebert Mitsuhiko Nakamoto Yanlai Yang Chelsea Finn Sergey Levine OffRL OnRL 218 71 0 11 Oct 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 114 83 0 12 Apr 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 111 243 0 02 Mar 2022
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation Zixuan Cao Yang Xu Zhewei Huang Shuchang Zhou 199 8 0 25 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 312 931 0 12 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 215 87 0 22 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 139 392 0 01 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 295 519 0 06 Aug 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 184 688 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 196 1,667 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 128 361 0 18 Feb 2021
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 88 103 0 27 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 143 318 0 23 Oct 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 150 1,839 0 08 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 87 145 0 02 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 582 2,049 0 04 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 142 626 0 07 Mar 2020
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 168 304 0 16 Oct 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 304 7,728 0 01 Oct 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 95 769 0 27 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 151 1,970 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 693 19,343 0 20 Jul 2017