DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling

Author:

Ionescu Vlad-Sebastian,Oneţ-Marian Zsuzsanna,Bădiţă Marin-Georgian,Czibula Gabriela,Popescu Mihai-Ioan,Dibangoye Jilles S.,Simonin Olivier

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. Advanced approaches for multi-robot coordination in logistic scenarios;Alessandro Farinelli;Robotics and Autonomous Systems,2017

2. Multi-step reinforcement learning: A unifying algorithm;Asis;in: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18),2018

3. Chen, S., Wu, F., Shen, L., Chen, J., Ramchurn, S., 2015. Multi-agent patrolling under uncertainty and threats. PLoS ONE 10, e0130154.

4. Theoretical analysis of the multi-agent patrolling problem;Chevaleyre;IEEE/WIC/ACM International Conference on Intelligent Agent Technolog,2004

5. Theoretical analysis of the multi-agent patrolling problem;Chevaleyre;Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004 (IAT,2004

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