Open AccessA Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
Author(s) -
Omar Darwiche Domingues,
Pierre Ménard,
Matteo Pirotta,
Emilie Kaufmann,
Michal Vaľko
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - regret , reinforcement learning , markov decision process , metric (unit) , kernel (algebra) , computer science , dimension (graph theory) , state space , action (physics) , set (abstract data type) , markov chain , parametric statistics , metric space , mathematical optimization , markov process , artificial intelligence , mathematics , machine learning , discrete mathematics , statistics , operations management , physics , quantum mechanics , pure mathematics , programming language , economics
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