Stochastic process - PDFSEARCH.IO - Document Search Engine

Stochastic process
Results: 1129

#	Item
731	Nearly Deterministic Abstractions of Markov Decision Processes Terran Lane and Leslie Pack Kaelbling MIT Artificial Intelligence Laboratory 200 Technology Square Cambridge, MA 02139 {terran,lpk}@ai.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:51 Dynamic programming Stochastic control Markov models Markov decision process Operations research Reinforcement learning Automated planning and scheduling Travelling salesman problem Stochastic Statistics Markov processes Probability and statistics
732	The Construction Process: Once a contractor has been selected for your group, you will be contacted by the City to inform you which contractor was selected to perform the work for RSI Improvements and provide you with th Add to Reading List Source URL: www.elsegundo.org Language: English - Date: 2012-04-18 13:13:58 Control theory Optimal control Stochastic control
733	Grasping POMDPs Kaijen Hsiao and Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-03-08 12:09:00 Stochastic control Partially observable Markov decision process Procedural programming languages Lisp programming language Markov decision process ALGOL 68 Automated planning and scheduling Motion planning Cons Statistics Dynamic programming Markov processes
734	3172 Biophysical Journal Volume 99 Add to Reading List Source URL: biodynamics.ucsd.edu Language: English - Date: 2013-10-11 13:34:14 Markov models Stochastic processes Queueing model G factor Continuous-time Markov process Birth–death process Markov chain Cross-correlation Gene regulatory network Statistics Markov processes Queueing theory
735	Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:02 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics
736	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous Kevin Murphy Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Dynamic programming Stochastic control Hierarchical hidden Markov model Hidden Markov model Partially observable Markov decision process Expectation–maximization algorithm Markov decision process Algorithm Markov chain Statistics Markov processes Markov models
737	263 Appendix A: Appendix In these sections I collect things which are off the to side, or in the background, of the main arguments made in the text. Some readers will find the background essential, others will find the a Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-09-18 23:02:52 Normal distribution Statistics Stochastic processes Poisson process
738	All learning is local: Multi-agent learning in global reward games Yu-Han Chang MIT CSAIL Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:52 Markov processes Stochastic control Robot control Reinforcement learning Q-learning Markov decision process Kalman filter Multi-armed bandit Machine learning Statistics Markov models Dynamic programming
739	Path Properties of Multigenerational Samples from Branching Processes Jim Kuelbs Department of Mathematics University of Wisconsin Madison, WI[removed] Add to Reading List Source URL: mason.gmu.edu Language: English - Date: 2008-05-07 15:35:36 Probability theory Martingale theory Central limit theorem Law of the iterated logarithm Maximum likelihood Brownian motion Borel–Cantelli lemma Large deviations theory Wiener process Statistics Mathematical analysis Stochastic processes
740	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: 2010-07-25 19:01:16 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

UPDATE