Hongda Jia

According to our database, Hongda Jia authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

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., January, 2024

2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

2021

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication.

Yuanzhao Zhai, Bo Ding, Xuan Liu, Hongda Jia, Yong Zhao, Jie Luo

IEEE Robotics Autom. Lett., 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

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

2020

Improving Policy Generalization for Teacher-Student Reinforcement Learning.

Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu

Proceedings of the Knowledge Science, Engineering and Management, 2020

Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning.

Dingjie He, Dawei Feng, Hongda Jia, Hui Liu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks.

Hongda Jia, Bo Ding, Huaimin Wang, Xudong Gong, Xing Zhou

Proceedings of the 2019 IEEE SmartWorld, 2019

Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning.

Xudong Gong, Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Hongda Jia

Proceedings of the 2019 IEEE SmartWorld, 2019