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Stochastic control
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#	Item
441	The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon Add to Reading List Source URL: www.phriends.eu Language: English - Date: 2007-09-24 20:51:29 Physics Motion planning Theoretical computer science Robotics Probabilistic roadmap Stochastic roadmap simulation Holonomic Stochastic Markov chain Robot control Mathematics Statistics
442	An Iterative Path Integral Stochastic Optimal Control Approach for Learning Robotic Tasks Evangelos Theodorou ∗ Freek Stulp ∗ Jonas Buchli ∗∗ Stefan Schaal ∗,∗∗∗ ∗ Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-04-13 00:25:59 Operations research Mathematical optimization Optimal control Attractor Partial differential equation Path integral formulation Dynamical system Hamilton–Jacobi–Bellman equation Nonlinear system Physics Calculus Control theory
443	Stochastic Differential Dynamic Programming Evangelos Theodorou, Yuval Tassa & Emo Todorov Abstract— Although there has been a significant amount of work in the area of stochastic optimal control theory towards the dev Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-07-12 20:52:39 Stochastic processes Differential equations Kalman filter Robot control Differential of a function Optimal control ΔT Additive white Gaussian noise Stochastic differential equation Statistics Calculus Mathematical analysis
444	Journal of Machine Learning Research[removed]3197 Submitted 1/10; Revised 7/10; Published[removed]A Generalized Path Integral Control Approach to Reinforcement Learning Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-05-25 14:46:58 Mathematical optimization Optimal control Dynamic programming Equations Stochastic control Hamilton–Jacobi–Bellman equation Markov chain Stochastic differential equation Path integral formulation Control theory Statistics Systems theory
445	Variable Impedance Control A Reinforcement Learning Approach Jonas Buchli, Evangelos Theodorou, Freek Stulp, Stefan Schaal Abstract— One of the hallmarks of the performance, versatility, and robustness of biological mo Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-02-17 00:49:52 Mathematical optimization Dynamic programming Stochastic control Optimal control Operations research Reinforcement learning Robotics Humanoid robot Markov decision process Control theory Statistics Science
446	Symbolic Dynamic Programming for Continuous State and Observation POMDPs Zahra Zamani ANU & NICTA Canberra, Australia Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-02-01 09:57:49 Markov processes Stochastic control Partially observable Markov decision process Markov decision process Variable Probability distribution Expected value Sheaf Statistics Mathematics Dynamic programming
447	Neuromuscular Stochastic Optimal Control of a Tendon Driven Index Finger Model Evangelos Theodorou, Emanuel Todorov and Francisco J. Valero-Cuevas Abstract— Our long-term goal is to find control principles to control r Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-04-12 23:05:28 Extrinsic extensor muscles of the hand Finger Interphalangeal articulations of hand Metacarpophalangeal joint Flexor digitorum profundus muscle Tendon Anatomy Joints Hand
448	19 Filtering and State Estimation Our study of estimating parameters from observations has presumed that there are unchanging parameters to be estimated. For many (if not most) applications this is not so: not only are Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-29 10:51:08 Signal processing Cybernetics Stochastic differential equations Linear filters Robot control Kalman filter State observer Filtering problem Symmetry-preserving filter Estimation theory Statistics Control theory
449	Path Integral Based Stochastic Optimal Control for Rigid Body Dynamics E. A. Theodorou, J. Buchli and S. Schaal* Abstract— Recent advances on path integral stochastic optimal control [2],[3] provide new insights on Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2008-11-19 19:29:46 Optimal control Stochastic control Mathematical optimization Operations research Hamilton–Jacobi–Bellman equation Linear-quadratic-Gaussian control Dynamic programming Path integral formulation Kalman filter Control theory Systems theory Cybernetics
450	Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application for the Colorado River Basin James R. Prairie and Balaji Rajagopalan Abstract The Colorado River system recently experienced Add to Reading List Source URL: www.esrl.noaa.gov Language: English - Date: 2013-12-23 14:57:13 Streamflow Soil salinity control Earth Planetary science Nature Hydrology Soil science Environmental soil science

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