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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

IEEE Transactions on Intelligent Transportation Systems, 2020
Zhaojian Li, Tianshu Chu, Jie Wang
exaly  

Multi-Agent Reinforcement Learning

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2017
Yuta KAJII, Kazuaki YAMADA
openaire   +1 more source

Multi Agent Reinforcement Learning

2019
Machine 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 ...
openaire   +1 more source

S-learning: A multi-agent reinforcement learning method

2000
oz 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.
openaire   +2 more sources

Multi-Agent Causal Reinforcement Learning

Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering
openaire   +2 more sources

Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments

ACM Transactions on Autonomous and Adaptive Systems, 2017
Siobhán Clarke   +2 more
exaly  

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