## Archive for reinforcement learning

## matrix multiplication [cover]

Posted in Books, pictures, Statistics, University life with tags algorithms, AlphaTensor, cover, deep learning, deep neural network, DeepMind, Google, London, matrix algebra, matrix multiplication, Monte Carlo algorithm, Nature, reinforcement learning, tensor, UK on December 15, 2022 by xi'an## Jana de Wiljes’ colloquium at Warwick

Posted in Statistics with tags colloquium, control variate, reinforcement learning, seminar, sequential learning, uncertainty quantification, University of Warwick on February 25, 2020 by xi'an## Sean Meyn in Paris

Posted in Books, Statistics, Travel with tags dynamic programming, Florida, Gainesville, Markov chains, Paris, reinforcement learning, Sean Meyn, seminar on November 23, 2013 by xi'an**M**y friend Sean Meyn (from the University of Florida, Gainesville) will give a talk in Paris next week (and I will be away in Coventry at the time…). Here are the details:

Mardi 26 novembre 2013 à 14h00

Salle de Conseil, 4ème étage (LINCS) 23 AVENUE D’ITALIE 75013 PARISTitre de l’exposé : Feature Selection for Neuro-Dynamic Programming

Neuro-Dynamic Programming encompasses techniques from both reinforcement learning and approximate dynamic programming. Feature selection refers to the choice of basis that defines the function class that is required in the application of these techniques. This talk reviews two popular approaches to neuro-dynamic programming, TD-learning and Q-learning. The main goal of this work is to demonstrate how insight from idealized models can be used as a guide for feature selection for these algorithms. Several approaches are surveyed, including fluid and diffusion models, and the application of idealized models arising from mean-field game approximations. The theory is illustrated with several examples.