Open AccessNon-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
Author(s) -
Huaqing Xiong,
Tengyu Xu,
Y. T. Liang,
Wei Zhang
Publication year - 2021
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i12.17252
Subject(s) - temporal difference learning , reinforcement learning , constant (computer programming) , convergence (economics) , rate of convergence , mathematics , sampling (signal processing) , stochastic approximation , function (biology) , markov process , type (biology) , nonlinear system , algorithm , computer science , statistics , artificial intelligence , physics , key (lock) , ecology , computer security , filter (signal processing) , quantum mechanics , evolutionary biology , economics , computer vision , biology , programming language , economic growth