Partially observable Markov decision process - PDFSEARCH.IO - Document Search Engine

Partially observable Markov decision process
Results: 193

#	Item
21	Evaluation of Statistical POMDP-based Dialogue Systems in Noisy Environments Steve Young, Catherine Breslin, Milica Gaˇsi´c, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Eli Tzirkel Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-06-03 16:14:30 Statistics Human–computer interaction User interfaces Machine translation Speech recognition Partially observable Markov decision process Usability Speech synthesis Dialog system Humanâ€“computer interaction Computational linguistics Science
22	AAAI Proceedings Template Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-06-16 09:47:36 Stochastic control Control theory Partially observable Markov decision process Markov decision process Reinforcement learning Dialogue FO Usability Statistics Dynamic programming Markov processes
23	Scaling Up POMDPs for Dialog Management: The “Summary POMDP” Method Jason D. Williams and Steve Young Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK . Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-07-01 06:49:10 Stochastic control Control theory User interfaces Partially observable Markov decision process Dialog system Markov decision process Dialogue Mode Statistics Dynamic programming Markov processes
24	ON-LINE POLICY OPTIMISATION OF BAYESIAN SPOKEN DIALOGUE SYSTEMS VIA HUMAN INTERACTION M. Gaˇsi´c, C. Breslin, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis and S. Young Cambridge University Engineering De Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-11-29 17:55:40 Stochastic control Bayesian statistics Partially observable Markov decision process Simulation Gaussian process Dialogue Markov decision process Machine learning Supervised learning Statistics Dynamic programming Markov processes
25	Towards a Principled General Approach to Motion Planning under Uncertainty David Hsu National University of Singapore Add to Reading List Source URL: www.cse.unr.edu Language: English - Date: 2012-12-20 19:29:32 Control theory Robot Motion Mathematical sciences Motion planning Cybernetics Index of robotics articles Dynamic programming Partially observable Markov decision process Stochastic control
26	Reusable Sampling-Based Techniques for Manipulation via Pushing Christopher Vo Abstract—In this work, we consider the problem of manipulating a polygonal object through an obstacle-filled environment using only push in Add to Reading List Source URL: www.cse.unr.edu Language: English - Date: 2012-12-20 19:29:59 Theoretical computer science Kinodynamic planning International Conference On Intelligent Robots and Systems Partially observable Markov decision process Robot ROS Cognitive robotics Robotics Robot kinematics Motion planning
27	Using Iterated Reasoning to Predict Opponent Strategies Michael Wunder Michael Kaisers Rutgers University Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:04:26 Science Dynamic programming Markov processes Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Multi-agent system Markov decision process Game theory Statistics Artificial intelligence
28	Shared Autonomy via Hindsight Optimization Shervin Javdani, Siddhartha S. Srinivasa, J. Andrew Bagnell The Robotics Institute, Carnegie Mellon University {sjavdani, siddh, dbagnell}@cs.cmu.edu Abstract—In shared autono Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2015-05-06 09:31:40 Stochastic control Virtual reality Control theory Mathematics Partially observable Markov decision process User interface Markov decision process Virtual fixture Lyapunov stability Statistics Dynamic programming Markov processes
29	Reusable Sampling-Based Techniques for Manipulation via Pushing Christopher Vo Abstract—In this work, we consider the problem of manipulating a polygonal object through an obstacle-filled environment using only push in Add to Reading List Source URL: iros2011.org Language: English - Date: 2011-09-21 07:00:45 Theoretical computer science Kinodynamic planning International Conference On Intelligent Robots and Systems Partially observable Markov decision process Robot ROS Cognitive robotics Robotics Robot kinematics Motion planning
30	Efficient Touch Based Localization through Submodularity Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa The Robotics Institute, Carnegie Mellon University {sjavdani, m Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-04-23 14:31:00 Golden ratio Partially observable Markov decision process Static single assignment form Mathematical analysis Limit Function Golden ratio base Mathematics Statistics Submodular set function

UPDATE