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Partially observable Markov decision process
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#	Item
101	Symbolic Dynamic Programming for Continuous State and Observation POMDPs Zahra Zamani ANU & NICTA Canberra, Australia Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-02-01 09:57:49 Markov processes Stochastic control Partially observable Markov decision process Markov decision process Variable Probability distribution Expected value Sheaf Statistics Mathematics Dynamic programming
102	Symbolic Dynamic Programming for Continuous State and Observation POMDPs Zahra Zamani ANU & NICTA Canberra, Australia Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-02-01 09:57:49 Markov processes Stochastic control Partially observable Markov decision process Markov decision process Variable Probability distribution Expected value Sheaf Statistics Mathematics Dynamic programming
103	Lucas Krakow, Louis Rabiet, Yun Zou, Guillaume Iooss Sanjay Rajopadhye & Edwin Chong Colorado State University n  UAV Resource Allocation Add to Reading List Source URL: www.dddas.org Language: English - Date: 2014-06-10 18:31:48 GPGPU Nvidia Operations research Dynamic programming Array programming languages Partially observable Markov decision process Mathematical optimization CUDA Parallel computing Software Statistics Computing
104	Sanjay Rajopadhye & Edwin Chong Colorado State University (AFOSR DDDAS Program Review, 2013) n  Project timeline: 2013—2016 n  Motivation, Objectives & Approach Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-10-28 20:44:55 Polytope model Mathematical sciences Linear programming Mathematical optimization Polyhedron Applied mathematics Program optimization Partially observable Markov decision process Frameworks supporting the polyhedral model Operations research Compiler optimizations Statistics
105	Procedia Computer Science Volume 29, 2014, Pages 1277–1288 ICCS[removed]14th International Conference on Computational Science Optimizing Dynamic Resource Allocation Lucas W. Krakow, Louis Rabiet, Yun Zou, Guillaume Ioos Add to Reading List Source URL: www.dddas.org Language: English - Date: 2014-05-07 11:40:02 Systems theory Dynamic programming Markov processes Stochastic control Mathematical optimization Partially observable Markov decision process Kalman filter Automatic parallelization Linear programming Statistics Control theory Operations research
106	Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle Abraham Bachrach ABACHRAC @ MIT. EDU Ruijie He RUIJIE @ ALUM . MIT. EDU Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-05-25 13:52:12 Planning Partially observable Markov decision process Mind Systems theory Neuropsychology Problem solving Automated planning and scheduling Algorithm
107	Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang ZHANGZZ @ COMP. NUS . EDU . SG David Hsu DYHSU @ COMP. NUS . EDU . SG Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Dynamic programming Partially observable Markov decision process Stochastic control Branch and bound NP-complete problems Statistics Mathematics Theoretical computer science
108	POMDPs Hal Daumé III Computer Science University of Maryland [removed] CS 421: Introduction to Artificial Intelligence Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-03-13 12:05:47 Stochastic control Partially observable Markov decision process Markov decision process Markov chain Monte Carlo POMDP Markov model Statistics Markov processes Dynamic programming
109	Understanding User State and Preferences for Robust Spoken Dialog Systems and Location-Aware Assistive Technology by William Li B.A.Sc. Engineering Science, University of Toronto[removed]Submitted to the Engineering Syste Add to Reading List Source URL: rvsn.csail.mit.edu Language: English - Date: 2012-12-28 01:32:32 Markov processes Stochastic control Multimodal interaction User interfaces Partially observable Markov decision process Dialog system Spoken dialog system Dialogue Speech recognition Humanâ€“computer interaction Statistics Dynamic programming
110	Policy search by dynamic programming J. Andrew Bagnell Carnegie Mellon University Pittsburgh, PA[removed]Andrew Y. Ng Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-03-05 16:57:09 Markov processes Applied mathematics Markov models Dynamic programming Stochastic control Reinforcement learning Partially observable Markov decision process Mathematical optimization Markov chain Statistics Operations research Control theory

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