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Bayesian programming
Results: 114

#	Item
101	Near-Optimal BRL using Optimistic Local Transitions Mauricio Araya-L´ opez, Vincent Thomas, Olivier Buffet maraya\|vthomas\|[removed] LORIA, Campus scientifique, BP 239, 54506 Vandœuvre-ls-Nancy cedex, FRANCE Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:58 Stochastic control Bayesian statistics Statistical theory Markov decision process Reinforcement learning Bayesian inference Machine learning Q-learning Statistics Dynamic programming Markov processes
102	Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:16 Stochastic control Markov models Partially observable Markov decision process Bayesian statistics Reinforcement learning Markov decision process Conjugate prior Markov chain Q-learning Statistics Markov processes Dynamic programming
103	An Intro to Probabilistic Programming using JAGS John Myles White December 27, 2012 Add to Reading List Source URL: files.meetup.com Language: English - Date: 2013-01-15 17:03:35 Bayesian statistics Monte Carlo software OpenBUGS Programming paradigms Programming language Prolog Bayesian inference Imperative programming Probability Statistics Software engineering Computing
104	Noname manuscript No. (will be inserted by the editor) Jonathan S. Yedidia Message-passing Algorithms for Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2013-09-19 19:46:48 Mathematics Coding theory Bayesian statistics Statistical models Constraint programming Belief propagation Factor graph Low-density parity-check code Bayesian network Graph theory Graphical models Theoretical computer science
105	The Mathematica® Journal Probabilistic Programming with Stochastic Memoization Implementing Nonparametric Bayesian Inference Add to Reading List Source URL: www.mathematica-journal.com Language: English - Date: 2013-11-07 04:18:50 Statistical theory Stochastic processes Statistical models Dirichlet process Bayesian inference Conjugate prior Estimation theory Confidence interval Memoization Statistics Statistical inference Bayesian statistics
106	POMDP Planning for Robust Robot Control Joelle Pineau School of Computer Science McGill University Montreal QC CANADA H3A 2A7 [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-06 10:50:44 Stochastic control Linear filters Markov models Partially observable Markov decision process Markov decision process Kalman filter Recursive Bayesian estimation Reinforcement learning Robotics Statistics Dynamic programming Markov processes
107	Approximate Solutions For Partially Observable Stochastic Games with Common Payoffs Rosemary Emery-Montemerlo, Geoff Gordon, Jeff Schneider School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-25 15:30:50 Stochastic control Bayesian statistics Artificial intelligence Partially observable Markov decision process Bayesian game Action selection Reinforcement learning Markov decision process Decision theory Statistics Dynamic programming Markov processes
108	POMDP Planning for Robust Robot Control Joelle Pineau School of Computer Science McGill University Montreal QC CANADA H3A 2A7 [removed] Add to Reading List Source URL: www.cs.mcgill.ca Language: English - Date: 2006-01-03 14:50:45 Stochastic control Linear filters Markov models Partially observable Markov decision process Markov decision process Kalman filter Recursive Bayesian estimation Reinforcement learning Robotics Statistics Dynamic programming Markov processes
109	Netica-J Reference Manual Add to Reading List Source URL: www.norsys.com Language: English - Date: 2012-02-12 21:34:52 Java Bayesian network Application programming interface Computing Cross-platform software Java platform
110	RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains Emma Brunskill Computer Science Department University of California, Berkeley Berkeley, CA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-06-12 13:34:38 Stochastic control Partially observable Markov decision process Automated planning and scheduling Markov decision process Reinforcement learning Bayesian network Observable State space Action Statistics Dynamic programming Markov processes

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