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Observable
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141	Monte Carlo Value Iteration for Continuous-State POMDPs Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo Abstract Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:20:12 Stochastic control Control theory Partially observable Markov decision process Markov decision process Gaussian function Continuous function Statistics Dynamic programming Markov processes
142	IN Proc. IEEE Int. Conf. on Robotics & Automation, 2008 A Point-Based POMDP Planner for Target Tracking David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2008-07-11 05:01:44 Dynamic programming Markov processes Stochastic control Theoretical computer science Partially observable Markov decision process Markov decision process Motion planning Symbol Vector space Statistics Algebra Mathematics
143	Monte-Carlo Planning in Large POMDPs Joel Veness UNSW, Sydney, Australia Add to Reading List Source URL: jveness.info Language: English - Date: 2010-11-08 17:46:22 Dynamic programming Stochastic control Monte Carlo methods Statistical mechanics Partially observable Markov decision process Markov decision process Automated planning and scheduling Simulation Markov chain Statistics Probability and statistics Markov processes
144	Supplementary Material for Monte Carlo Bayesian Reinforcement Learning 1. Proof of Theorem 1 ≤ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:19:22 Partially observable Markov decision process Statistics Markov processes Markov chain
145	Latent Variable Jeroen K. Vermunt & Jay Magidson Many constructs that are of interest to social scientists can not be observed directly. Examples are preferences, attitudes, behavioral intentions, and personality traits. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:51 Latent variable model Econometrics Categorical data Statistical dependence Latent class model Latent variable Item response theory Observable variable Probability distribution Statistics Statistical models Psychometrics
146	Tools for Knowledge Workers Urgent vs Important Matrix From time to time you will hear or see statements lamenting the readily observable fact that “the urgent displaces the important.” Actually, that is exactly as i Add to Reading List Source URL: www.nickols.us - Date: 2014-11-23 08:22:53
147	PDF Document Add to Reading List Source URL: aisb.org.uk Language: English - Date: 2008-03-15 17:12:10 Dynamic programming Stochastic control Markov chain Reinforcement learning Partially observable Markov decision process Agent-based model Stochastic process Mathematical optimization Statistics Markov processes Markov models
148	PDF Document Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2014-02-16 20:56:29 Robot control Cartography Kalman filter Motion planning Simultaneous localization and mapping Partially observable Markov decision process Laplace transform Robotic mapping Trajectory optimization Mathematical analysis Statistics Control theory
149	APPENDIX 7 Drilling and sampling the regolith What to look for in drilled samples Regolith features observable in drill cuttings may vary significantly depending on the degree of weathering and preservation. Well-develo Add to Reading List Source URL: www.crcleme.org.au Language: English - Date: 2009-04-21 13:14:00 Sedimentary rocks Planetary geology Geochemistry Regolith Saprolite Hematite Soil Mineral exploration Breccia Geology Economic geology Sedimentology
150	RPL the ‘Black Box’ Approach RPL the ‘Black Box’ approach, is a full day program which addresses RPL from a student’s point of view and focuses more on achieving the practical and observable aspects of competen Add to Reading List Source URL: www.velgtraining.com Language: English - Date: 2015-04-08 23:39:05 Regional Transport Office Recognition of prior learning

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