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OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
10 November 2024
Rohit Bokade
Xiaoning Jin
OffRL
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Papers citing
"OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control"
22 / 22 papers shown
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
Italian National Conference on Sensors (INS), 2024
Rohit Bokade
Xiaoning Jin
162
2
0
23 Oct 2024
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
Neural Information Processing Systems (NeurIPS), 2023
Zhang-Wei Hong
Aviral Kumar
Sathwik Karnik
Abhishek Bhandwaldar
Akash Srivastava
Joni Pajarinen
Romain Laroche
Abhishek Gupta
Pulkit Agrawal
OffRL
247
27
0
06 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
IEEE Access (IEEE Access), 2023
Rohit Bokade
Xiaoning Jin
Chris Amato
271
22
0
03 Oct 2023
An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Computers and Chemical Engineering (Comput. Chem. Eng.), 2023
Marwan Mousa
Damien van de Berg
Niki Kotecha
Ehecatl Antonio del Rio Chanona
M. Mowbray
175
23
0
21 Jul 2023
Decoupled Prioritized Resampling for Offline RL
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yang Yue
Bingyi Kang
Xiao Ma
Qisen Yang
Gao Huang
Qing Xiao
Shuicheng Yan
OffRL
266
8
0
08 Jun 2023
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
246
13
0
23 Jun 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
Annual Conference Computational Learning Theory (COLT), 2022
Wenhao Zhan
Baihe Huang
Audrey Huang
Nan Jiang
Jason D. Lee
OffRL
620
120
0
09 Feb 2022
A Minimalist Approach to Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Scott Fujimoto
S. Gu
OffRL
387
994
0
12 Jun 2021
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy
M. Nazari
Davood Hajinezhad
Jorge Silva
137
107
0
12 Oct 2020
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
439
2,214
0
08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
1.1K
2,356
0
04 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari
Y. Yilmaz
AI4TS
225
561
0
02 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GP
OffRL
1.1K
1,609
0
15 Apr 2020
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
475
766
0
26 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Jianchao Tan
Zhuoran Yang
Tamer Basar
640
1,476
0
24 Nov 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Neural Information Processing Systems (NeurIPS), 2019
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRL
OnRL
365
1,182
0
03 Jun 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
The Web Conference (WWW), 2019
Huichu Zhang
Siyuan Feng
Chang-rui Liu
Yaoyao Ding
Yichen Zhu
Zihan Zhou
Weinan Zhang
Yong Yu
Haiming Jin
Ruoyao Xiao
AI4TS
AI4CE
203
329
0
13 May 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control
International Conference on Information and Knowledge Management (CIKM), 2019
Hua Wei
Nan Xu
Huichu Zhang
Guanjie Zheng
Xinshi Zang
Chacha Chen
Weinan Zhang
Yanmin Zhu
Kai Xu
Ruoyao Xiao
284
424
0
11 May 2019
Addressing Function Approximation Error in Actor-Critic Methods
International Conference on Machine Learning (ICML), 2018
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
829
6,228
0
26 Feb 2018
Graph Attention Networks
International Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
3.8K
24,093
0
30 Oct 2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal
Michael Kaisers
T. Baarslag
Enrique Munoz de Cote
253
303
0
28 Jul 2017
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
696
2,354
0
24 May 2017
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