Chang Wang

According to our database, Chang Wang authored at least 24 papers between 2012 and 2025.

Collaborative distances:

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

2025

Multi-Agent Reinforcement Learning With Spatial-Temporal Attention for Flocking With Collision Avoidance of a Scalable Fixed-Wing UAV Fleet.

Chao Yan, Chang Wang, Han Zhou, Xiaojia Xiang, Xiangke Wang, Lincheng Shen

IEEE Trans. Intell. Transp. Syst., February, 2025

2024

Integrated Learning-Based Framework for Autonomous Quadrotor UAV Landing on a Collaborative Moving UGV.

Chang Wang, Jiaqing Wang, Zhaowei Ma, Mingjin Xu, Kailei Qi, Ze Ji, Changyun Wei

IEEE Trans. Veh. Technol., November, 2024

Agile Flights Through a Moving Narrow Gap for Quadrotors Using Adaptive Curriculum Learning.

Mengyun Wang, Shengde Jia, Yifeng Niu, Yunzhuo Liu, Chao Yan, Chang Wang

IEEE Trans. Intell. Veh., November, 2024

Collision-Avoiding Flocking With Multiple Fixed-Wing UAVs in Obstacle-Cluttered Environments: A Task-Specific Curriculum- Based MADRL Approach.

Chao Yan, Chang Wang, Xiaojia Xiang, Kin Huat Low, Xiangke Wang, Xin Xu, Lincheng Shen

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Deep Reinforcement Learning With Multicritic TD3 for Decentralized Multirobot Path Planning.

Heqing Yin, Chang Wang, Chao Yan, Xiaojia Xiang, Boliang Cai, Changyun Wei

IEEE Trans. Cogn. Dev. Syst., August, 2024

A Two-Layer Communication Relay Planning Method for a Fixed-Wing UAVs Swarm.

Dong Yin, Xuan Yang, Chang Wang, Huangchao Yu, Siyuan Chen

IEEE Trans. Veh. Technol., May, 2024

2023

A performance-impact based multi-task distributed scheduling algorithm with task removal inference and deadlock avoidance.

Jie Li, Runfeng Chen, Chang Wang, Yiting Chen, Yuchong Huang, Xiangke Wang

Auton. Agents Multi Agent Syst., October, 2023

An Air-to-Ground Relay Communication Planning Method for UAVs Swarm Applications.

Dong Yin, Xuan Yang, Huangchao Yu, Siyuan Chen, Chang Wang

IEEE Trans. Intell. Veh., April, 2023

2022

Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps.

Chao Yan, Chang Wang, Xiaojia Xiang, Zhen Lan, Yuna Jiang

IEEE Trans. Ind. Informatics, 2022

Accurate policy detection and efficient knowledge reuse against multi-strategic opponents.

Hao Chen, Quan Liu, Ke Fu, Jian Huang, Chang Wang, Jianxing Gong

Knowl. Based Syst., 2022

Fast Model-Free Learning for Controlling a Quadrotor UAV With Designed Error Trajectory.

Chen An, Shengde Jia, Jiaxi Zhou, Chang Wang

IEEE Access, 2022

2021

Efficient use of heuristics for accelerating XCS-based policy learning in Markov games.

Hao Chen, Chang Wang, Jian Huang, Jianxing Gong

Swarm Evol. Comput., 2021

Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning.

Chao Yan, Xiaojia Xiang, Chang Wang, Zhen Lan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Fixed-Wing UAVs flocking in continuous spaces: A deep reinforcement learning approach.

Chao Yan, Xiaojia Xiang, Chang Wang

Robotics Auton. Syst., 2020

Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments.

Chao Yan, Xiaojia Xiang, Chang Wang

J. Intell. Robotic Syst., 2020

XCS with opponent modelling for concurrent reinforcement learners.

Hao Chen, Chang Wang, Jian Huang, Jiangtao Kong, Hanqiang Deng

Neurocomputing, 2020

2019

Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking.

Yunyun Zhao, Xiangke Wang, Chang Wang, Yirui Cong, Lincheng Shen

Auton. Agents Multi Agent Syst., 2019

Reinforcement Learning with an Extended Classifier System in Zero-sum Markov Games.

Chang Wang, Hao Chen, Chao Yan, Xiaojia Xiang

Proceedings of the IEEE International Conference on Agents, 2019

2018

A saliency-based reinforcement learning approach for a UAV to avoid flying obstacles.

Zhaowei Ma, Chang Wang, Yifeng Niu, Xiangke Wang, Lincheng Shen

Robotics Auton. Syst., 2018

2014

Effective transfer learning of affordances for household robots.

Chang Wang, Koen V. Hindriks, Robert Babuska

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Active learning of affordances for robot use of household objects.

Chang Wang, Koen V. Hindriks, Robert Babuska

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

An Approach to Navigation for the Humanoid Robot Nao in Domestic Environments.

Changyun Wei, Junchao Xu, Chang Wang, Pascal Wiggers, Koen V. Hindriks

Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Robot learning and use of affordances in goal-directed tasks.

Chang Wang, Koen V. Hindriks, Robert Babuska

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

Learning Classifier System on a humanoid NAO robot in dynamic environments.

Chang Wang, Pascal Wiggers, Koen V. Hindriks, Catholijn M. Jonker

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012