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Stochastic control
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191	Journal of Articial Intelligence Research423 Submitted 2/02; published 6/02 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2008-10-14 03:56:35 Stochastic control Multi-agent systems Partially observable Markov decision process Agent-based model Reinforcement learning Markov decision process Communication Statistics Dynamic programming Markov processes
192	Structured Parameter Elicitation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-01-17 20:01:45 Stochastic control Statistical theory Estimation theory Statistics Dynamic programming Partially observable Markov decision process
193	Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-01 20:57:56 Markov processes Stochastic control Mathematical sciences Operations research Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Algorithm Statistics Control theory Dynamic programming
194	Series expansions of Brownian motion and the unscented particle filter October 15, 2013 Abstract The discrete-time filtering problem for nonlinear diffusion processes is computationally intractable in general. However, i Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-11-26 10:22:33 Control theory Monte Carlo methods Stochastic processes Robot control Particle filter Unscented transform Normal distribution Brownian motion Importance sampling Statistics Probability and statistics Estimation theory
195	Monte Carlo Value Iteration for Continuous-State POMDPs Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo Abstract Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:20:12 Stochastic control Control theory Partially observable Markov decision process Markov decision process Gaussian function Continuous function Statistics Dynamic programming Markov processes
196	IN Proc. IEEE Int. Conf. on Robotics & Automation, 2008 A Point-Based POMDP Planner for Target Tracking David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2008-07-11 05:01:44 Dynamic programming Markov processes Stochastic control Theoretical computer science Partially observable Markov decision process Markov decision process Motion planning Symbol Vector space Statistics Algebra Mathematics
197	Monte-Carlo Planning in Large POMDPs Joel Veness UNSW, Sydney, Australia Add to Reading List Source URL: jveness.info Language: English - Date: 2010-11-08 17:46:22 Dynamic programming Stochastic control Monte Carlo methods Statistical mechanics Partially observable Markov decision process Markov decision process Automated planning and scheduling Simulation Markov chain Statistics Probability and statistics Markov processes
198	Nonlinear stability and ergodicity of ensemble based Kalman filters Xin T Tong1,2 , Andrew J Majda1,2 and David Kelly1 1 Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, Add to Reading List Source URL: www.dtbkelly.com Language: English - Date: 2015-04-17 23:42:20 Cybernetics Systems theory Linear filters Robot control Stochastic differential equations Kalman filter Data assimilation Discretization Statistical ensemble Control theory Statistics Estimation theory
199	PDF Document Add to Reading List Source URL: www-ljk.imag.fr Language: English - Date: 2013-12-17 07:58:03 Measurement Probability interpretations Control theory Data assimilation Estimation theory Uncertainty Stochastic Statistics Science Knowledge
200	PDF Document Add to Reading List Source URL: aisb.org.uk Language: English - Date: 2008-03-15 17:12:10 Dynamic programming Stochastic control Markov chain Reinforcement learning Partially observable Markov decision process Agent-based model Stochastic process Mathematical optimization Statistics Markov processes Markov models

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