Determinantal reinforcement learning with techniques to avoid poor local optima

DOI10.1007/978-981-16-5576-0_5OpenAlexW4205630195MaRDI QIDQ6130857

Takayuki Osogami, Rudy Raymond

Publication date: 3 April 2024

Published in: Proceedings of the Forum "Math-for-Industry" 2018 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-16-5576-0_5

zbMATH Keywords

diversitydeterminantal point processlow rankmulti-agent reinforcement learningSARSA

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Agent technology and artificial intelligence (68T42)

Cites Work

• Unnamed Item
• Determinantal Point Processes for Machine Learning
• On landmark selection and sampling in high-dimensional data analysis
• The Efficient Generation of Random Orthogonal Matrices with an Application to Condition Estimators

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