Stochastic control

Results: 776



#Item
681Mathematical sciences / Stochastic processes / Differential equations / Mathematical modeling / Control theory / Mathematical model / Stochastic differential equation / Economic model / Kalman filter / Statistics / Mathematics / Dynamical systems

STATISTICAL MECHANICS OF COMBAT WITH HUMAN FACTORS Lester Ingber Science Transfer Corporation P.O. Box 857 McLean, VA[removed]and

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Source URL: www.ingber.com

Language: English - Date: 2002-01-14 20:39:05
682Stochastic control / Latin alphabets / English phonology / Control theory / Optimal control

PDF Document

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Source URL: iesw.lublin.pl

Language: English - Date: 2014-06-10 08:29:10
683Statistics / Dynamic programming / Stochastic control / Reinforcement learning / Robotics / Optimal control / Hamilton–Jacobi–Bellman equation / Machine learning / Tendon / Cybernetics / Control theory / Science

Tendon-Driven Variable Impedance Control Using Reinforcement Learning Eric Rombokas, Mark Malhotra, Evangelos Theodorou, Emanuel Todorov, and Yoky Matsuoka Abstract—Biological motor control is capable of learning compl

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Source URL: roboticsproceedings.org

Language: English - Date: 2013-06-10 06:15:02
684Stochastic processes / Statistical mechanics / Brownian motion / Colloidal chemistry / Fractals / Motion / Particle filter / Kalman filter / Statistics / Probability and statistics / Robot control

Better Motion Prediction for People-tracking Allison Bruce Geoffrey Gordon Robotics Institute

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Source URL: www.cs.cmu.edu

Language: English - Date: 2004-05-17 21:03:11
685Stochastic control / Mathematical sciences / Operations research / Markov models / Partially observable Markov decision process / Markov decision process / Reinforcement learning / Mathematical optimization / Linear programming / Statistics / Markov processes / Dynamic programming

Solving POMDPs from Both Sides: Growing Dual Parsimonious Bounds Nicholas Armstrong-Crews Geoffrey Gordon Manuela Veloso

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Source URL: www.aaai.org

Language: English - Date: 2008-06-14 18:56:47
686Stochastic control / Multivariate statistics / Partially observable Markov decision process / Statistical theory / Automated planning and scheduling / Principal component analysis / Reinforcement learning / Dimension reduction / Markov decision process / Statistics / Dynamic programming / Markov processes

Journal of Artificial Intelligence Research[removed]Submitted 05/04; published[removed]Finding Approximate POMDP Solutions Through Belief Compression

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Source URL: www.cs.cmu.edu

Language: English - Date: 2005-01-30 19:00:16
687Linear algebra / Dynamic programming / Markov processes / Stochastic control / Markov decision process / Linear programming / Mathematical optimization / Algorithm / Matrix / Mathematics / Algebra / Operations research

Planning in the Presence of Cost Functions Controlled by an Adversary H. Brendan McMahan Geoffrey J Gordon Avrim Blum

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-06-24 09:15:18
688Stochastic control / Control theory / Partially observable Markov decision process / Markov decision process / Automated planning and scheduling / Reinforcement learning / Monte Carlo POMDP / Statistics / Dynamic programming / Markov processes

Point-based value iteration: An anytime algorithm for POMDPs Joelle Pineau, Geoff Gordon and Sebastian Thrun Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-06-04 12:29:32
689Stochastic control / Markov models / Cybernetics / Algorithm / Partially observable Markov decision process / Markov decision process / Automated planning and scheduling / Machine learning / Expectation–maximization algorithm / Statistics / Dynamic programming / Markov processes

Closing the Learning-Planning Loop with PSRs Byron Boots [removed] Sajid M. Siddiqi* [removed] Geoffrey J. Gordon

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-01-15 11:15:38
690Stochastic control / Markov models / Cybernetics / Predictive state representation / Hidden Markov model / Machine learning / Markov decision process / Algorithm / Expectation–maximization algorithm / Statistics / Markov processes / Dynamic programming

Closing the Learning-Planning Loop with Predictive State Representations (Extended Abstract) Byron Boots ∗

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-03-03 14:18:55
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