Jingqing Ruan

According to our database, Jingqing Ruan authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Multi-agent Coordination via Dual-channel Consensus.

Qingyang Zhang, Kaishen Wang, Jingqing Ruan, Yiming Yang, Dengpeng Xing, Bo Xu

Mach. Intell. Res., April, 2024

2023

DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning.

Yijing Lin, Zhipeng Gao, Hongyang Du, Jiawen Kang, Dusit Niyato, Qian Wang, Jingqing Ruan, Shaohua Wan

IEEE Trans. Commun., October, 2023

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge.

Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao

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

CoRR, 2023

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan

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, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao

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, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao

CoRR, 2023

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents.

Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao

CoRR, 2023

Mixture of personality improved Spiking actor network for efficient multi-agent cooperation.

Xiyun Li, Ziyi Ni, Jingqing Ruan, Linghui Meng, Jing Shi, Tielin Zhang, Bo Xu

CoRR, 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

Proceedings of the International Joint Conference on Neural Networks, 2023

Explainable Reinforcement Learning via a Causal World Model.

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery.

Kaishen Wang, Jingqing Ruan, Qingyang Zhang, Dengpeng Xing

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning.

Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone.

Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.

Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

M3: Modularization for Multi-task and Multi-agent Offline Pre-training.

Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing, Bo Xu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Learning in Bi-level Markov Games.

Linghui Meng, Jingqing Ruan, Dengpeng Xing, Bo Xu

Proceedings of the International Joint Conference on Neural Networks, 2022

GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning.

Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Multi-Agent Action Coordination via Electing First-Move Agent.

Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Promoting Coordination Through Electing First-moveAgent in Multi-Agent Reinforcement Learning.

Jingqing Ruan, Linghui Meng, Bo Xu

CoRR, 2021