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Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms
Applied Sciences (Switzerland), 2021Abdikarim Mohamed Ibrahim +2 more
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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
IEEE Transactions on Intelligent Transportation Systems, 2020Tianshu Chu, Jie Wang, Lara Codecà
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Multi Agent Reinforcement Learning
2019Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is a group of machine learning algorithms where one does not know the correct answer in advance, much like unsupervised learning ...
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S-learning: A multi-agent reinforcement learning method
2000oz S-OGRENME: BİR ÇOKLU-ETMEN TAKVIYE-OGRENME METODU Kuter, Uğur Yüksek Lisans, Bilgisayar Mühendisliği Bölümü Tez Yöneticisi: Doç. Dr. Faruk Polat Haziran 2000, 48 sayfa Çoklu-Etmen Sistemlerinde öğrenme günümüzde önem verilen bir araştırma konusudur.
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Multi-Agent Reinforcement Learning
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2017Yuta KAJII, Kazuaki YAMADA
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Multi-Agent Causal Reinforcement Learning
Proceedings of the 13th International Conference on Model-Based Software and Systems Engineeringopenaire +1 more source
A multi-agent reinforcement learning approach to robot soccer
Artificial Intelligence Review, 2011Yong Duan
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