Jingqing Ruan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 34

Top Topics

Traffic Signal Control

Reinforcement Learning

Shared Knowledge

Script Language

Top Venues

Publications

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 (2024)
Xuantang Xiong, Linghui Meng, Jingqing Ruan, Shuang Xu, Bo Xu
UNeC: Unsupervised Exploring In Controllable Space. ICASSP (2024)
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) (2024)
Jingqing Ruan, Runpeng Xie, Xuantang Xiong, Shuang Xu, Bo Xu
MaDE: Multi-Scale Decision Enhancement for Multi-Agent Reinforcement Learning. ICASSP (2024)
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 (2024)
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)
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) (2024)
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 (2024)
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
Learning Causal Dynamics Models in Object-Oriented Environments. CoRR (2024)
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 (2024)
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)
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
Explainable Reinforcement Learning via a Causal World Model. IJCAI (2023)
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR (2023)
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) (2023)
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)
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 (2023)
Kaishen Wang, Jingqing Ruan, Qingyang Zhang, Dengpeng Xing
Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery. ICONIP (7) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI (2023)
Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu
Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. ECAI (2023)
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 (2023)
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)
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 (2023)
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)
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
Explainable Reinforcement Learning via a Causal World Model. CoRR (2023)
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 (2023)
Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu
Learning Multi-Agent Action Coordination via Electing First-Move Agent. ICAPS (2022)
Linghui Meng, Jingqing Ruan, Dengpeng Xing, Bo Xu
Learning in Bi-level Markov Games. IJCNN (2022)
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 (2022)
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)
Jingqing Ruan, Linghui Meng, Bo Xu
Promoting Coordination Through Electing First-moveAgent in Multi-Agent Reinforcement Learning. CoRR (2021)