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Stochastic process
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#	Item
341	List of scientific publications for Fred Espen Benth August 6, 2014 In refereed journals 1. An Explicit Functional Process Solution to a Stochastic Partial Differential Equation with Applications to Non Linear Filtering. Add to Reading List Source URL: folk.uio.no Language: English - Date: 2014-08-06 03:00:33 Mathematical finance Bernt Øksendal Norwegian Academy of Science and Letters Ole Barndorff-Nielsen Stochastic volatility Stochastic modelling Statistics Science Mathematics
342	Automated Hierarchy Discovery for Planning in Partially Observable Environments Laurent Charlin & Pascal Poupart David R. Cheriton School of Computer Science Faculty of Mathematics Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-11-23 03:02:24 Applied mathematics Dynamic programming Stochastic control Computability theory Recursion Mathematical optimization Control theory Finite-state machine Markov decision process Statistics Markov processes Mathematical sciences
343	Automated Hierarchy Discovery for Planning in Partially Observable Domains by Laurent Charlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-11-23 03:02:25 Mathematics Dynamic programming Markov processes Stochastic control Numerical software Mathematical optimization Markov decision process Solver Hierarchy Statistics Operations research Applied mathematics
344	The Sequence Memoizer ∗ Frank Wood Department of Statistics Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-09-11 11:52:10 Bayesian statistics Stochastic processes Markov processes Graphical models Dirichlet process Pitman–Yor process Markov property Language model Gibbs sampling Statistics Probability and statistics Markov models
345	POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce , Utah State University Logan, UT Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:17:26 Markov processes Stochastic control Artificial intelligence Partially observable Markov decision process Control theory Automated planning and scheduling Game artificial intelligence Hindsight Heuristic function Search algorithms Statistics Dynamic programming
346	Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation David Wingate Andreas Stuhlmüller Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:48 Monte Carlo methods Statistical models Importance sampling Variance reduction Stochastic process Markov chain Monte Carlo Mixture model Markov chain Kalman filter Statistics Probability and statistics Markov models
347	Bidirectional Online Probabilistic Planning Aswin Nadamuni Raghavan and Saket Joshi and Alan Fern and Prasad Tadepalli School of Electrical Engineering and Computer Science Oregon State University, Corvallis, ORW Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:16:59 Markov processes Stochastic control Heuristics Automated planning and scheduling University of Cape Town Heuristic function Markov decision process Planner Heuristic Statistics Artificial intelligence Dynamic programming
348	Compact, Convex Upper Bound Iteration for Approximate POMDP Planning Tao Wang University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-04-29 22:25:13 Operations research Mathematical optimization Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Semidefinite programming Linear programming Markov decision process Mathematics Algebra Statistics
349	Bayesian Sparse Sampling for On-line Reward Optimization Tao Wang TRYSI @ CS . UALBERTA . CA Daniel Lizotte DLIZOTTE @ CS . UALBERTA . CA Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-17 16:12:19 Markov processes Stochastic control Statistical inference Partially observable Markov decision process Bayesian inference Thompson sampling Markov decision process Reinforcement learning Machine learning Statistics Dynamic programming Bayesian statistics
350	LRTDP vs. UCT for Online Probabilistic Planning Andrey Kolobov Mausam Daniel S. Weld Add to Reading List Source URL: www.cs.washington.edu Language: English - Date: 2013-08-13 03:53:42 Systems theory Mathematical optimization Equations Operations research Stochastic control Markov decision process Lookahead Bellman equation Automated planning and scheduling Statistics Dynamic programming Control theory

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