Reinforcement learning for multi-agent formation navigation with scalability
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05007-3.pdf
Reference32 articles.
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2. Li H, Zhao T, Dian S (2022) Prioritized planning algorithm for multirobot collision avoidance based on artificial untraversable vertex. Appl Intell 52(1):429–451. https://doi.org/10.1007/s10489-021-02397-0
3. Hu J, Niu H, Carrasco J, Lennox B, Arvin F (2020) Voronoi-based multirobot autonomous exploration in unknown environments via deep reinforcement learning. IEEE Trans Veh Technol 69(12):14413–14423. https://doi.org/10.1109/TVT.2020.3034800
4. Tan AH, Bejarano FP, Zhu Y, Ren R, Nejat G (2022) Deep reinforcement learning for decentralized multi-robot exploration with macro actions. IEEE Robot Autom Lett 8(1):272–279. https://doi.org/10.1109/LRA.2022.3224667
5. Alitappeh RJ, Jeddisaravi K (2022) Multi-robot exploration in task allocation problem. Appl Intell 52(2):2189–2211. https://doi.org/10.1007/s10489-021-02483-3
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