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Stochastic control
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81	Stochastic Control of Electric Vehicle Charging Kyle Anderson CS 229 Machine Learning Final Project Abstract— This project attempts several methods to optimize charging schedules fo Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 23:40:13
82	Finite-Sample Analysis in Reinforcement Learning Mohammad Ghavamzadeh INRIA Lille – Nord Europe, Team SequeL Outline Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2011-12-05 01:35:36 Mathematics Dynamic programming Mathematical analysis Stochastic control Discrete mathematics Algebra Distribution Number theory Markov decision process Prime-counting function Mathematical optimization Projection-valued measure
83	Optimism in Sequential Decision-Making under Uncertainty Peter Bartlett Department of Statistics and Division of Computer Science UC Berkeley Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2007-08-23 19:31:01 Mathematical analysis Dynamic programming Markov processes Stochastic control Statistical inference Analysis Operations research Markov decision process Regret Distribution S0 Mathematical optimization
84	Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Recall: MDPs. 2. Value iteration. 3. Policy iteration. Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-11-25 12:45:38 Markov processes Mathematics Probability theory Mathematical analysis Dynamic programming Markov decision process Stochastic control Markov chain Mathematical optimization Distribution
85	Classification-based Policy Iteration with a Critic V. Gabillon1 , A. Lazaric1 , M. Ghavamzadeh1 & B. Scherrer2 1 2 INRIA Lille - Nord Europe, Team Sequel, Add to Reading List Source URL: victorgabillon.nfshost.com Language: English - Date: 2011-06-30 11:49:57 Dynamic programming Markov decision process Stochastic control Probability theory Probability Statistics
86	Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Markov decision processes and partially observable Markov decision processes. 2. Value functions, Q functions. Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-11-25 12:45:37 Markov processes Dynamic programming Probability theory Stochastic control Mathematical analysis Probability Markov models Markov decision process Mathematical optimization Markov chain Bellman equation X0
87	arXiv:1402.6763v1 [math.OC] 27 FebLinear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-27 20:30:05 Mathematics Mathematical analysis Dynamic programming Markov decision process Stochastic control Distribution Probability theory Jet bundle Table of stars with Bayer designations
88	approximate-mdps-notes.dvi Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-11-25 12:45:37 Operations research Numerical analysis Mathematical optimization Mathematical analysis Optimal control Dynamic programming Markov decision process Stochastic control
89	Formalizing and Enforcing Purpose Restrictions in Privacy Policies (Full Version) Michael Carl Tschantz Anupam Datta Jeannette M. Wing March 22, 2012 Add to Reading List Source URL: www.andrew.cmu.edu Language: English - Date: 2016-02-12 12:31:56 Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Health Insurance Portability and Accountability Act Privacy Medical record Internet privacy Bellman equation Personally identifiable information Policy
90	AN EFFICIENT STOCHASTIC APPROXIMATION EM ALGORITHM USING CONDITIONAL PARTICLE FILTERS Fredrik Lindsten Division of Automatic Control, Link¨oping University, Link¨oping, Sweden, e-mail: . ABSTRACT I p Add to Reading List Source URL: users.isy.liu.se Language: English

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