Funder
national natural science foundation of china
program of introducing talents and innovation of disciplines
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Computers in Earth Sciences,Mechanical Engineering,Social Sciences (miscellaneous),Aerospace Engineering,Control and Systems Engineering
Reference40 articles.
1. Babuska R, Busoniu L, Schutter BD (2006) Reinforcement learning for multi-agent systems. In: Proceedings of the 11th international conference on emerging technologies and factory automation. IEEE, Prague. http://www.dcsc.tudelft.nl
2. Busoniu L, Babuska R, Schutter BD (2010) Multi-agent reinforcement learning: an overview. In: Srinivasan D, Jain LC (eds) Innovations in multi-agent systems and applications—1. Studies in computational intelligence, vol 310, pp 183–221, Springer, Berlin. https://doi.org/10.1007/978-3-642-14435-6_7
3. Baker B, Gupta O, Naik N, Raskar R (2017) Designing neural network architectures using reinforcement learning. In: International conference on learning representations. arXiv:1611.02167v2
4. Duryea E, Ganger M, Hu W (2016) Exploring deep reinforcement learning with multi q-learning. Intell Control Autom 7(4):129–144. https://doi.org/10.4236/ica.2016.74012
5. Das-Stuart A, Howell KC, Folta D (2019) Rapid trajectory design in complex environments enabled by reinforcement learning and graph search strategies. Acta Astronaut 171:172–195. https://doi.org/10.1016/j.actaastro.2019.04.037
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献