A Deep Reinforcement Learning Approach to Multi-agent Search and Rescue in Unknown Environments

Author:

Pan Haoxuan,Duan Xiaoming,Yu Wenbin,He Jianping

Publisher

Springer Nature Singapore

Reference18 articles.

1. World disasters report 2022: IFRC. https://www.ifrc.org/document/world-disasters-report-2022. Accessed 12 Jun 2023

2. Torreno, A., Onaindia, E., Komenda, A., Štolba, M.: Cooperative multi-agent planning: a survey. ACM Comput. Surv. 50(6), 1–32 (2017)

3. Durfee, E.H.: Distributed problem solving and planning. In: Multi-Agent Systems and Applications, pp. 118–149. Springer (2001). https://doi.org/10.1007/3-540-47745-4_6

4. Wolverton, M., DesJardins, M.: Controlling communication in distributed planning using irrelevance reasoning. In: Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence (1998)

5. Bredin, J., Maheswaran, R.T., Imer, C., Başar, T., Kotz, D., Rus, D.: A game-theoretic formulation of multi-agent resource allocation. In: International Conference on Autonomous Agents (2000)

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