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Stochastic control
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181	CAPIR: Collaborative Action Planning with Intention Recognition Truong-Huy Dinh Nguyen and David Hsu and Wee-Sun Lee and Tze-Yun Leong Department of Computer Science, National University of Singapore, Singapore, S Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-19 20:59:31 Stochastic control Markov models Artificial intelligence Action selection Markov decision process Reinforcement learning Ghostbusters Decision theory Markov chain Statistics Markov processes Dynamic programming
182	INDIAN INSTITUTE OF SCIENCE EDUCATION AND RESEARCH - THIRUVANANTHAPURAM Lecture Series on NAVIER-STOKES EQUATIONS: Solvability, Control and Stochastic Analysis from Feb 22, 2011 to Mar 4, 2011 by Add to Reading List Source URL: www.nps.edu Language: English - Date: 2013-08-07 13:11:27 Claude-Louis Navier Stokes equation Navier–Stokes equations Physics Optimal control Fluid dynamics Scientific equations named after people Navier–Stokes existence and smoothness Fluid mechanics Partial differential equations Dynamics
183	The Passport Control Problem or How to Keep an Unstable Service System Load Balanced ? A. I TAI Computer Science Department, Technion M. RODEH Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2013-04-17 12:12:31 Probability and statistics Probability theory Operations research Abstract data types Markov models Queue Mean value analysis Statistics Stochastic processes Queueing theory
184	Stability of Polling Systems with State-Independent Routing Serguei Foss∗, Natalia Chernova† and Artyom Kovalevskii‡ This paper deals with the stability study of polling systems with either finite or infinite (coun Add to Reading List Source URL: math.nsc.ru Language: English Ergodic theory Limit superior and limit inferior Stochastic differential equations Markov processes Markov models Control theory Approximately finite dimensional C*-algebra Itō diffusion Statistics Stochastic processes Point process
185	T O APPEAR IN International Jounral of Robotics Research Planning under Uncertainty for Robotic Tasks with Mixed Observability Sylvie C.W. Ong Department of Computer Science, National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:19:53 Stochastic control Control theory Systems theory Cybernetics Partially observable Markov decision process Markov decision process Automated planning and scheduling Observability State space Statistics Dynamic programming Markov processes
186	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: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:17:28 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
187	Fixed Points of Majority Rule Cellular Automata with Application to Plasticity and Precision of the Immune System Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2013-03-26 14:31:28 English phonology Stochastic differential equations Optimal control Stochastic control English orthography Control theory Systems theory Cybernetics
188	Integrated Perception and Planning in the Continuous Space: A POMDP Approach Haoyu Bai David Hsu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-09-25 21:49:37 Stochastic control Control theory Partially observable Markov decision process Monte Carlo POMDP Markov decision process Algorithm Maximum likelihood Statistics Dynamic programming Markov processes
189	DAVID K ELLY Courant Institute of Mathematical Science, New York University, New York, NY, USA http://www.dtbkelly.com last updated. Add to Reading List Source URL: www.dtbkelly.com Language: English - Date: 2014-08-31 15:16:51 Control theory Martin Hairer Nonlinear filter Partial differential equation Data assimilation Kalman filter Stochastic Mathematical analysis University of Warwick Mathematics Statistics Calculus
190	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:05:05 Stochastic control Partially observable Markov decision process Motion planning Automated planning and scheduling Markov decision process S0 Probabilistic roadmap Reinforcement learning Sampling Statistics Dynamic programming Markov processes

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