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Computing the Stationary Distribution of a Finite Markov Chain Through Stochastic Factorization.

, and . SIAM J. Matrix Anal. Appl., 32 (4): 1513-1523 (2011)

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GOLS - Genetic orthogonal least squares algorithm for training RBF networks., , and . Neurocomputing, 69 (16-18): 2041-2064 (2006)Reinforcement Learning using Kernel-Based Stochastic Factorization., , and . NIPS, page 720-728. (2011)Reports of the AAAI 2014 Conference Workshops., , , , , , , , , and 24 other author(s). AI Mag., 36 (1): 87-98 (2015)Online TD(A) for discrete-time Markov jump linear systems., , and . CDC, page 2229-2234. IEEE, (2018)On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization., , and . NIPS, page 1493-1501. (2012)A new approach for generating numerical constants in grammatical evolution., , , and . GECCO (Companion), page 193-194. ACM, (2011)Probabilistic performance profiles for the experimental evaluation of stochastic algorithms., , and . GECCO, page 751-758. ACM, (2010)Graph Layout Using a Genetic Algorithm., and . SBRN, page 179-184. IEEE Computer Society, (2000)Computing the Stationary Distribution of a Finite Markov Chain Through Stochastic Factorization., and . SIAM J. Matrix Anal. Appl., 32 (4): 1513-1523 (2011)Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning., , and . CoRR, (2020)