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ORCIDJingqing Ruan
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2020 – today
- 2024
[j3]Qingyang Zhang
, Kaishen Wang, Jingqing Ruan, Yiming Yang, Dengpeng Xing, Bo Xu:
Enhancing Multi-agent Coordination via Dual-channel Consensus. Mach. Intell. Res. 21(2): 349-368 (2024)- [j2]Jingqing Ruan, Kaishen Wang, Qingyang Zhang, Dengpeng Xing, Bo Xu:
Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making. Mach. Intell. Res. 21(4): 782-800 (2024) - [c17]Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao:
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. AAMAS 2024: 1283-1291 - [c16]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Du Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang:
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. EMNLP (Industry Track) 2024: 371-385 - [c15]Jingqing Ruan, Runpeng Xie, Xuantang Xiong, Shuang Xu, Bo Xu:
MaDE: Multi-Scale Decision Enhancement for Multi-Agent Reinforcement Learning. ICASSP 2024: 31-35 - [c14]Xuantang Xiong, Linghui Meng, Jingqing Ruan, Shuang Xu, Bo Xu:
UNeC: Unsupervised Exploring In Controllable Space. ICASSP 2024: 191-195 - [c13]Zhongwei Yu, Jingqing Ruan, Dengpeng Xing:
Learning Causal Dynamics Models in Object-Oriented Environments. ICML 2024 - [c12]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 - [c11]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 - [i18]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) - [i17]Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Yichuan Ding, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng:
Hummer: Towards Limited Competitive Preference Dataset. CoRR abs/2405.11647 (2024) - [i16]Zhongwei Yu, Jingqing Ruan, Dengpeng Xing:
Learning Causal Dynamics Models in Object-Oriented Environments. CoRR abs/2405.12615 (2024) - [i15]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) - [i14]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) - [i13]Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao:
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR abs/2408.10504 (2024) - 2023
- [j1]Yijing Lin, Zhipeng Gao, Hongyang Du, Jiawen Kang, Dusit Niyato, Qian Wang, Jingqing Ruan, Shaohua Wan:
DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning. IEEE Trans. Commun. 71(10): 5992-6004 (2023) - [c10]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 - [c9]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI 2023: 2010-2017 - [c8]Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu:
Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. ECAI 2023: 2720-2727 - [c7]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 - [c6]Kaishen Wang, Jingqing Ruan, Qingyang Zhang, Dengpeng Xing:
Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery. ICONIP (7) 2023: 76-87 - [c5]Zhongwei Yu, Jingqing Ruan, Dengpeng Xing:
Explainable Reinforcement Learning via a Causal World Model. IJCAI 2023: 4540-4548 - [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 - [i12]Zhongwei Yu, Jingqing Ruan, Dengpeng Xing:
Explainable Reinforcement Learning via a Causal World Model. CoRR abs/2305.02749 (2023) - [i11]Xiyun Li, Ziyi Ni, Jingqing Ruan, Linghui Meng, Jing Shi, Tielin Zhang, Bo Xu:
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. CoRR abs/2305.05898 (2023) - [i10]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) - [i9]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR abs/2307.15530 (2023) - [i8]Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao:
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR abs/2308.03427 (2023) - [i7]Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao:
Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. CoRR abs/2310.18752 (2023) - [i6]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao:
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR abs/2311.11315 (2023) - [i5]Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan:
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR abs/2311.13884 (2023) - [i4]Jingqing Ruan, Kaishen Wang, Qingyang Zhang, Dengpeng Xing, Bo Xu:
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making. CoRR abs/2312.11027 (2023) - [i3]Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao:
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. CoRR abs/2312.14532 (2023) - 2022
- [c3]Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Learning Multi-Agent Action Coordination via Electing First-Move Agent. ICAPS 2022: 624-628 - [c2]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 - [c1]Linghui Meng, Jingqing Ruan, Dengpeng Xing, Bo Xu:
Learning in Bi-level Markov Games. IJCNN 2022: 1-8 - [i2]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) - 2021
- [i1]Jingqing Ruan, Linghui Meng, Bo Xu:
Promoting Coordination Through Electing First-moveAgent in Multi-Agent Reinforcement Learning. CoRR abs/2110.08126 (2021)
Coauthor Index
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