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2020 – today
- 2024
[c11]Jingqing Ruan, Runpeng Xie, Xuantang Xiong, Shuang Xu, Bo Xu:
MaDE: Multi-Scale Decision Enhancement for Multi-Agent Reinforcement Learning. ICASSP 2024: 31-35- [c10]Xuantang Xiong, Linghui Meng, Jingqing Ruan, Shuang Xu, Bo Xu:
UNeC: Unsupervised Exploring In Controllable Space. ICASSP 2024: 191-195 - [c9]Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao:
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. IJCAI 2024: 94-102 - [c8]Xuantang Xiong, Shuang Xu, Bo Xu:
TaCoD: Tasks-Commonality-Aware World in Meta Reinforcement Learning. IJCNN 2024: 1-8 - [c7]Jingqing Ruan
, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao:
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD 2024: 2500-2511 - [i5]Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao:
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR abs/2404.12090 (2024) - [i4]Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao:
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. CoRR abs/2405.17152 (2024) - [i3]Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao:
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR abs/2407.10811 (2024) - 2023
- [c6]Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing, Bo Xu:
M3: Modularization for Multi-task and Multi-agent Offline Pre-training. AAMAS 2023: 1624-1633 - [c5]Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu:
Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. ECAI 2023: 2776-2783 - [c4]Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. IJCNN 2023: 1-8 - [c3]Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu:
Filtered Observations for Model-Based Multi-agent Reinforcement Learning. ECML/PKDD (4) 2023: 540-555 - [i2]Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. CoRR abs/2307.12063 (2023) - 2022
- [c2]Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Learning Multi-Agent Action Coordination via Electing First-Move Agent. ICAPS 2022: 624-628 - [c1]Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu:
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS 2022: 1128-1136 - [i1]Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu:
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR abs/2201.06257 (2022)
Coauthor Index
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