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Stochastic control
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#	Item
391	Character Participation in Social Interaction Add to Reading List Source URL: robert.zubek.net Language: English - Date: 2007-04-21 19:39:49 Stochastic control Markov models Communication Partially observable Markov decision process Markov chain Markov decision process Stochastic process Finite-state machine Probabilistic logic Statistics Markov processes Dynamic programming
392	A tool for construction of stochastic spatio-temporal models assimilated with observational data Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2008-04-02 11:16:28 Monte Carlo methods Estimation theory Robot control Linear filters Computational statistics Particle filter Geographic information system Economic model Ensemble Kalman filter Statistics Applied mathematics Science
393	A Framework for Inertial Sensor Calibration Using Complex Stochastic Error Models Stebler Y., Guerrier S., Skaloud J., and Victoria-Feser M.-P.** * Add to Reading List Source URL: www.ion-ch.ch Language: English - Date: 2012-03-23 08:22:13 Kalman filter Sensor Stochastic Statistics Robot control Control theory
394	.~}41111\ ~ 0by.JI to_,s.:J ~ ~~ 4.w:a_;ill o1\ ~)1~1 Add to Reading List Source URL: www.clusterconvention.org Language: English - Date: 2013-02-18 15:42:20 Control theory Linear-quadratic-Gaussian control Optimal control Stochastic control Jan Willem Klop Cybernetics Mathematics Science
395	EVOLUTIONARY AND DETERMINISTIC METHODS FOR DESIGN, OPTIMIZATION AND CONTROL C. Poloni, D. Quagliarella, J. P´ eriaux, N. Gauger and K. Giannakoglou (Eds.) c CIRA, Capua, Italy 2011 Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2012-11-15 12:28:22 Stochastic optimization Applied mathematics Evolution Program optimization Mathematical optimization Fitness landscape CMA-ES Swarm behaviour Nature Biology Evolutionary algorithms Cybernetics
396	Decentralized Bayesian Reinforcement Learning for Online Agent Collaboration A. Rogers1 , N. R. Jennings1 S. McClean4 , G. Parr4 W. T. L. Teacy1 , G. Chalkiadakis2 Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2012-06-06 11:47:06 Bayesian statistics Stochastic control Markov models Markov decision process Reinforcement learning Conjugate prior Bayesian inference Q-learning Action selection Statistics Dynamic programming Markov processes
397	PDF Document Add to Reading List Source URL: www.prapatti.com Language: English - Date: 2004-01-27 06:11:58 Science Vapor pressures of the elements Control theory Optimal control Stochastic control
398	Reinforcement Learning in POMDPs Without Resets Eyal Even-Dar Sham M. Kakade School of Computer Science Computer and Information Science University of Pennsylvania Tel-Aviv University Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:37:28 Dynamic programming Stochastic control Markov models Partially observable Markov decision process Markov decision process Markov chain Reinforcement learning Statistics Markov processes Control theory
399	Weak Constraints Network Optimiser Cyrille Berger Abstract— We present a general framework to estimate the parameters of both a robot and landmarks in 3D. It relies on the use of a stochastic gradient descent method fo Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2012-10-09 04:46:25 Pose Robot control Graph Tree Mathematics Decomposition method Computer vision Artificial intelligence Constraint programming
400	PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning Marc Pickett [removed] Andrew G. Barto Add to Reading List Source URL: www.marcpickett.com Language: English - Date: 2013-11-21 13:28:34 Stochastic control Reinforcement learning Q-learning Markov decision process Decision making Algorithm Machine learning Statistics Dynamic programming Markov processes

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