Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning. - Xudong Gong; Bo Ding; Jie Xu 007; Huaimin Wang; Xing Zhou 004; Hongda Jia (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks. - Hongda Jia; Bo Ding; Huaimin Wang; Xudong Gong; Xing Zhou 004 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning. - Dingjie He; Dawei Feng; Hongda Jia; Hui Liu (ICPADS, 2020)

Improving Policy Generalization for Teacher-Student Reinforcement Learning. - Xudong Gong; Hongda Jia; Xing Zhou 004; Dawei Feng; Bo Ding; Jie Xu 007 (KSEM (2), 2020)

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication. - Yuanzhao Zhai; Bo Ding; Xuan Liu 001; Hongda Jia; Yong Zhao; Jie Luo (IEEE Robotics Autom. Lett., 2021)

CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System. - Hongda Jia; Yong Zhao; Yuanzhao Zhai; Bo Ding; Huaimin Wang; Qingtong Wu (IEEE Robotics Autom. Lett., 2022)

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. - Zijian Gao; Kele Xu; Hongda Jia; Tianjiao Wan; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (ICASSP, 2023)

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. - Hongda Jia; Zijian Gao; Cheng Yang; Bo Ding; Yuanzhao Zhai; Huaimin Wang (IEEE Robotics Autom. Lett., 2024)