Xing Zhou
Orcid: 0000-0001-6358-1621Affiliations:
- National University of Defense Technology, NUDT, College of Computer, Changsha, China (PhD 2019)
According to our database1,
Xing Zhou
authored at least 18 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Hierarchy Coverage Path Planning With Proactive Extremum Prevention in Unknown Environments.
IEEE Robotics Autom. Lett., April, 2025
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
2023
Collision-free Coverage Path Planning for the Variable-speed Curvature-constrained Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2021
Sci. China Inf. Sci., 2021
2020
Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles.
IEEE Access, 2020
Proceedings of the Knowledge Science, Engineering and Management, 2020
2019
Knowl. Based Syst., 2019
Balanced connected task allocations for multi-robot systems: An exact flow-based integer program and an approximate tree-based genetic algorithm.
Expert Syst. Appl., 2019
Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration.
Entropy, 2019
Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms.
Sci. China Inf. Sci., 2019
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
Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019
2018
How Many Robots are Enough: A Multi-Objective Genetic Algorithm for the Single-Objective Time-Limited Complete Coverage Problem.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2014
Proceedings of the Modern Trends and Techniques in Computer Science, 2014
GEAS: A GA-ES-mixed algorithm for parameterized optimization problems - Using CLS problem as an example.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014