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Continuous stochastic process
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#	Item
61	WC41-4: Scheduling Algorithms for Downlink Services in Wireless Networks: A Markov Decision Process Approach Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2006-04-03 11:07:43 Stochastic processes Queueing theory Operations research Markov decision process Queueing model Markov chain Continuous-time Markov process Scheduling Optimal control Statistics Markov processes Markov models
62	Continuous-State POMDPs with Hybrid Dynamics Emma Brunskill, Leslie Kaelbling, Tomas Lozano-Perez, Nicholas Roy Computer Science and Artificial Laboratory Massachusetts Institute of Technology Cambridge, MA emma,lpk,tlp, Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:55 Dynamic programming Markov processes Stochastic control Linear algebra Partially observable Markov decision process Control theory Markov decision process Norm Vector space Algebra Mathematics Statistics
63	Ann Math Artif Intell DOI[removed]s10472[removed]Planning in partially-observable switching-mode continuous domains Emma Brunskill · Leslie Pack Kaelbling · Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:16:52 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Monte Carlo POMDP State space Dynamical system Continuous function Statistics Dynamic programming Markov processes
64	Finite-time Regional Verification of Stochastic Nonlinear Systems Jacob Steinhardt Department of Mathematics Massachusetts Institute of Technology Cambridge, Massachusetts[removed]Email: [removed] Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-09-02 10:48:22 Martingale Markov chain Optional stopping theorem Continuous function Wiener process Stochastic differential equation Itō diffusion Harris chain Statistics Stochastic processes Martingale theory
65	Optimally Solving Dec-POMDPs as Continuous-State MDPs Jilles Steeve Dibangoye Inria / Universit´e de Lorraine Nancy, France [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-08-12 12:17:22 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Heuristic function Mathematical optimization Statistics Dynamic programming Markov processes
66	Exploiting Separability in Multiagent Planning with Continuous-State MDPs Jilles S. Dibangoyea a Christopher Amatob Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2014-03-18 11:50:39 Markov decision process Stochastic control Sufficient statistic Statistics Statistical theory Dynamic programming
67	Continuous Inverse Optimal Control with Locally Optimal Examples Sergey Levine Vladlen Koltun Computer Science Department, Stanford University, Stanford, CA[removed]USA Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-19 08:15:16 Dynamic programming Mathematical sciences Markov processes Stochastic control Markov decision process Optimal control Reinforcement learning Inverse problem Trajectory optimization Statistics Mathematical optimization Operations research
68	1 Introduction 1.1 RANDOM SIGNALS AND NOISE In (electrical) engineering one often encounters signals that do not have a precise mathematical description, since they develop as random functions of time. Sometimes this ran Add to Reading List Source URL: media.wiley.com Language: English - Date: 2007-10-05 17:47:32 Time series analysis Probability theory Stochastic Random variable Discrete time Continuous stochastic process Signal Poisson process Errors and residuals in statistics Statistics Stochastic processes Signal processing
69	Statistics of transitions for Markov chains with periodic forcing.∗ S. Herrmann and D. Landon Institut de Mathématiques de Bourgogne UMR CNRS 5584, Université de Bourgogne, Add to Reading List Source URL: math.u-bourgogne.fr Language: English - Date: 2013-04-04 08:15:11 Markov chain Continuous-time Markov process Perturbation theory Stochastic matrix Mathematical analysis Mathematics Measurement Markov processes Markov models Stochastic processes
70	Chapter 1 CONTINUOUS TIME MARKOV CHAIN MODELS FOR CHEMICAL REACTION NETWORKS David F. Anderson ∗ Add to Reading List Source URL: www.math.wisc.edu Language: English - Date: 2010-10-11 20:57:23 Poisson process Martingale Counting process Markov chain Continuous-time Markov process Brownian motion Wiener process Lévy process Markov property Statistics Stochastic processes Markov processes

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