Gaussian-enhanced reinforcement learning for scalable evasion strategies in multi-agent pursuit-evasion games
Authors:
- Ye ZhangYZYe Zhang
- Yutong ZhuYZYutong Zhu
- Jingyu WangJWJingyu Wang
- 29 July 2025
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 652
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (52202502)
- Northwestern Polytechnical University (PF2024040)
- Aeronautical Science Foundation of China
This publication has 30 references indexed in Scilit:
- A Collision‐Free Pursuit‐Evasion Framework for Indirect Herding and Formation Control of Noncooperative UAVsInternational Journal of Robust and Nonlinear Control, 2024
- One Apollonius Circle is enough for many pursuit-evasion gamesAutomatica, 2024
- Offline Pre-trained Multi-agent Decision TransformerMachine Intelligence Research, 2023
- Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learningNeurocomputing, 2022
- Min–Max Q-learning for multi-player pursuit-evasion gamesNeurocomputing, 2022
- Cooperative control for multi-player pursuit-evasion games with reinforcement learningNeurocomputing, 2020
- Cooperative pursuit with Voronoi partitionsAutomatica, 2016
- Pursuit–evasion games in the presence of obstaclesAutomatica, 2016
- Automatic control of aircraft lateral-directional motion during landing using neural networks and radio-technical subsystemsNeurocomputing, 2016
- Applied multivariate analysisJournal of Econometrics, 1975