C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems.
IEEE Robotics Autom. Lett., January, 2024
Complementary Learning System Based Intrinsic Reward in Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System.
IEEE Robotics Autom. Lett., 2022
Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication.
IEEE Robotics Autom. Lett., 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning.
CoRR, 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning.
CoRR, 2021
Improving Policy Generalization for Teacher-Student Reinforcement Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2020
Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks.
Proceedings of the 2019 IEEE SmartWorld, 2019
Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning.
Proceedings of the 2019 IEEE SmartWorld, 2019