Author:
Jiang Rui,Zhang Xuetao,Liu Yisha,Xu Yi,Zhang Xuebo,Zhuang Yan
Funder
Liaoning Provincial Natural Science Foundation
Aeronautical Science Foundation of China
National Natural Science Foundation of China
Reference32 articles.
1. Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications;Nguyen;IEEE Trans. Cybern.,2020
2. Multi-agent reinforcement learning as a rehearsal for decentralized planning;Kraemer;Neurocomputing,2016
3. L. Yuan, J. Wang, F. Zhang, C. Wang, Z. Zhang, Y. Yu, C. Zhang, Multi-agent incentive communication via decentralized teammate modeling, in: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, (9) 2022, pp. 9466–9474.
4. Tom2c: Target-oriented multi-agent communication and cooperation with theory of mind;Wang,2021
5. Variational autoencoders for opponent modeling in multi-agent systems;Papoudakis,2020