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Optimal decision
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#	Item
151	Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2013-04-30 13:17:31 Control theory Motion planning Trajectory optimization Partially observable Markov decision process Kalman filter Collision detection Optimal control Normal distribution Robot Mathematical optimization Statistics Applied mathematics
152	Package ‘evtree’ October 15, 2014 Title Evolutionary Learning of Globally Optimal Trees Version[removed]Date[removed]Description Commonly used classification and regression tree methods like the CART algorithm Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-15 07:16:42 Artificial intelligence Data mining Ensemble learning Decision tree learning Machine learning Random forest Regression analysis Decision trees Statistics Computational statistics
153	c 2010 INFORMS \| isbn[removed]4 doi[removed]educ[removed]INFORMS holds copyright to this article and distributed this copy as a courtesy to the author(s). Additional information, including rights and permissi Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2010-10-20 11:50:39 Queueing theory Markov models Mathematical optimization Queueing model Markov chain Optimal control Markov decision process Dynamic programming Poisson process Statistics Markov processes Stochastic processes
154	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2012-06-11 20:17:47 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
155	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2011-09-29 15:55:17 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
156	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-06-04 04:19:00 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
157	WC41-4: Scheduling Algorithms for Downlink Services in Wireless Networks: A Markov Decision Process Approach Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2006-04-03 11:07:43 Stochastic processes Queueing theory Operations research Markov decision process Queueing model Markov chain Continuous-time Markov process Scheduling Optimal control Statistics Markov processes Markov models
158	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:08 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
159	Optimal Decision Making under Extreme Event Risks John M. Mulvey Princeton University Operations Research and Financial Engineering Bendheim Center for Finance Discussion Piece Add to Reading List Source URL: www.ldeo.columbia.edu Language: English - Date: 2005-04-04 00:59:39 Economics Actuarial science Insurance Financial institutions Finance Reinsurance Dynamic financial analysis Diversification Risk management Financial economics Types of insurance Business
160	Diagnose and Decide: An Optimal Bayesian Approach Emma Brunskill Computer Science Department Carnegie Mellon University [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:09:52 Stochastic control Decision theory Partially observable Markov decision process Markov decision process Optimal decision Statistical hypothesis testing Algorithm Greedy algorithm Decision making Statistics Dynamic programming Markov processes

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