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2409.10589
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Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
16 September 2024
Jesse van Remmerden
Zaharah Bukhsh
Yingqian Zhang
OffRL
OnRL
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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
319
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
19,348
0
20 Jul 2017
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