Promoting Coordination Through Electing First-moveAgent in Multi-Agent Reinforcement Learning. - Jingqing Ruan; Linghui Meng 001; Bo Xu 002 (CoRR, 2021)

Learning Multi-Agent Action Coordination via Electing First-Move Agent. - Jingqing Ruan; Linghui Meng 001; Xuantang Xiong; Dengpeng Xing; Bo Xu 002 (ICAPS, 2022)

GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Yali Du 001; Xuantang Xiong; Dengpeng Xing; Xiyun Li; Linghui Meng 001; Haifeng Zhang 002; Jun Wang 012; Bo Xu 002 (AAMAS, 2022)

Learning in Bi-level Markov Games. - Linghui Meng 001; Jingqing Ruan; Dengpeng Xing; Bo Xu 002 (IJCNN, 2022)

M3: Modularization for Multi-task and Multi-agent Offline Pre-training. - Linghui Meng 001; Jingqing Ruan; Xuantang Xiong; Xiyun Li; Xi Zhang; Dengpeng Xing; Bo Xu 002 (AAMAS, 2023)

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Xiaotian Hao; Dong Li 016; Hangyu Mao (ECAI, 2023)

Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. - Wannian Xia; Yiming Yang; Jingqing Ruan; Dengpeng Xing; Bo Xu 002 (ECAI, 2023)

Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. - Xuantang Xiong; Linghui Meng 001; Jingqing Ruan; Qingyang Zhang; Guoqi Li; Dengpeng Xing; Bo Xu 002 (ECAI, 2023)

Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery. - Kaishen Wang; Jingqing Ruan; Qingyang Zhang; Dengpeng Xing (ICONIP (7), 2023)

Explainable Reinforcement Learning via a Causal World Model. - Zhongwei Yu; Jingqing Ruan; Dengpeng Xing (IJCAI, 2023)

Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. - Qingyang Zhang; Yiming Yang; Jingqing Ruan; Xuantang Xiong; Dengpeng Xing; Bo Xu 002 (IJCNN, 2023)

Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. - Xiyun Li; Ziyi Ni; Jingqing Ruan; Linghui Meng 001; Jing Shi 003; Tielin Zhang; Bo Xu 002 (CoRR, 2023)

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. - Jingqing Ruan; Yihong Chen; Bin Zhang 052; Zhiwei Xu 005; Tianpeng Bao; Guoqing Du; Shiwei Shi; Hangyu Mao; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. - Guanghu Sui; Zhishuai Li; Ziyue Li 002; Sun Yang; Jingqing Ruan; Hangyu Mao; Rui Zhao 001 (CoRR, 2023)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Guoqing Du; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. - Bin Zhang 052; Hangyu Mao; Jingqing Ruan; Ying Wen 001; Yang Li 116; Shao Zhang; Zhiwei Xu 005; Dapeng Li 001; Ziyue Li 002; Rui Zhao 001; Lijuan Li 002; Guoliang Fan (CoRR, 2023)

Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making. - Jingqing Ruan; Kaishen Wang; Qingyang Zhang; Dengpeng Xing; Bo Xu 002 (CoRR, 2023)

DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning. - Yijing Lin; Zhipeng Gao 001; Hongyang Du; Jiawen Kang 001; Dusit Niyato; Qian Wang 015; Jingqing Ruan; Shaohua Wan 001 (IEEE Trans. Commun., 2023)

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. - Jiaming Lu; Jingqing Ruan; Haoyuan Jiang; Ziyue Li 002; Hangyu Mao; Rui Zhao 001 (AAMAS, 2024)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Du Qing; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001; et al. (EMNLP (Industry Track), 2024)

MaDE: Multi-Scale Decision Enhancement for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Runpeng Xie; Xuantang Xiong; Shuang Xu; Bo Xu 002 (ICASSP, 2024)

UNeC: Unsupervised Exploring In Controllable Space. - Xuantang Xiong; Linghui Meng 001; Jingqing Ruan; Shuang Xu; Bo Xu 002 (ICASSP, 2024)

Learning Causal Dynamics Models in Object-Oriented Environments. - Zhongwei Yu; Jingqing Ruan; Dengpeng Xing (ICML, 2024)

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. - Haoyuan Jiang; Ziyue Li 002; Hua Wei 001; Xuantang Xiong; Jingqing Ruan; Jiaming Lu; Hangyu Mao; Rui Zhao 001 (IJCAI, 2024)

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. - Jingqing Ruan; Ziyue Li 002; Hua Wei 001; Haoyuan Jiang; Jiaming Lu; Xuantang Xiong; Hangyu Mao; Rui Zhao 001 (KDD, 2024)

Hummer: Towards Limited Competitive Preference Dataset. - Li Jiang; Yusen Wu; Junwu Xiong; Jingqing Ruan; Yichuan Ding; Qingpei Guo; Zujie Wen; Jun Zhou; Xiaotie Deng (CoRR, 2024)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. - Haoyuan Jiang; Xuantang Xiong; Ziyue Li 002; Hangyu Mao; Guanghu Sui; Jingqing Ruan; Yuheng Cheng; Hua Wei 001; Wolfgang Ketter; Rui Zhao 001 (CoRR, 2024)

Enhancing Multi-agent Coordination via Dual-channel Consensus. - Qingyang Zhang; Kaishen Wang; Jingqing Ruan; Yiming Yang; Dengpeng Xing; Bo Xu 002 (Mach. Intell. Res., 2024)

Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making. - Jingqing Ruan; Kaishen Wang; Qingyang Zhang; Dengpeng Xing; Bo Xu 002 (Mach. Intell. Res., 2024)

AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. - Qi Liu 003; Jingqing Ruan; Hao Li; Haodong Zhao; Desheng Wang; Jiansong Chen; Guanglu Wan; Xunliang Cai; Zhi Zheng 008; Tong Xu 001 (ACL (Findings), 2025)

An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. - Song Ma; Jingqing Ruan; Yali Du 001; Richard Bucknall; Yuanchang Liu (IEEE Trans Autom. Sci. Eng., 2025)

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. - Yilun Kong; Hangyu Mao; Qi Zhao; Bin Zhang 052; Jingqing Ruan; Li Shen 008; Yongzhe Chang; Xueqian Wang 001; Rui Zhao 001; Dacheng Tao (Trans. Mach. Learn. Res., 2025)

When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. - Xiaoyun Zhang; Jingqing Ruan; Xing Ma; Yawen Zhu; Haodong Zhao; Hao Li; Jiansong Chen; Ke Zeng; Xunliang Cai (CoRR, 2025)

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. - Xiaoyun Zhang; Jingqing Ruan; Xing Ma; Yawen Zhu; Jiansong Chen; Ke Zeng; Xunliang Cai (CoRR, 2025)