JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan

First Page		Document Content
Date: 2015-07-20 20:08:36 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Loss function Markov decision process Reinforcement learning Exponential family Confidence interval Likelihood function Conjugate prior		JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan Add to Reading List Source URL: jmlr.org Download Document from Source Website File Size: 483,51 KB Share Document on Facebook

	Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade DocID: 1vkcR - View Document
	Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade DocID: 1vbLp - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation DocID: 1vbHd - View Document
	Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018 DocID: 1v6Ai - View Document
	Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade DocID: 1v3Qc - View Document