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Loss function
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21	Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation Hamid R. Maei University of Alberta Edmonton, AB, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2010-03-02 00:09:06 Mathematical analysis Statistical theory Smooth functions Loss function Sine Distribution Bearing pressure
22	Trust Region Policy Optimization arXiv:1502.05477v4 [cs.LG] 6 Jun 2016 John Schulman JOSCHU @ EECS . BERKELEY. EDU Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-06-06 20:48:19 Numerical analysis Applied mathematics Statistics Markov models Mathematical optimization Operations research Reinforcement learning Expectationmaximization algorithm Sine Proximal gradient method Gradient method Loss function
23	JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Loss function Markov decision process Reinforcement learning Exponential family Confidence interval Likelihood function Conjugate prior
24	JIANG et al.: PARAMETRIC TEMPORAL ALIGNMENT FOR FACIAL ACTION TEMPORAL SEGMENTS DETECTION 1 Parametric temporal alignment for the detection of facial action temporal segments Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:11 Statistics Statistical theory Dynamic programming Dynamic time warping Time series analysis Loss function Computational phylogenetics
25	Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage Marek Petrik IBM T. J. Watson Research Center Yorktown, NY 10598 Add to Reading List Source URL: marek.petrik.us Language: English - Date: 2016-07-14 09:59:52 Statistical theory Statistics Econometrics Loss function Lithium-ion battery Mathematical optimization Statistical inference
26	A Framework for the Analysis of Self-Con…rming Policies P. Battigalli,a S. Cerreia-Vioglio,a F. Maccheroni,a M. Marinacci,a T. Sargentb a b Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2016-03-22 14:20:27 Game theory Mathematics Mathematical analysis Economic model Nash equilibrium Sigma-algebra Solution concept Measurable function Strategy Loss function Borel set Best response
27	MONFISPOL FP7 project SSHDeliverableUser manual for optimal policy package Add to Reading List Source URL: www.monfispol.eu Language: English - Date: 2011-11-16 06:18:26 Mathematical optimization Mathematics Mathematical analysis Statistics Instrumental variable Parameter Lagrange multiplier Variable Multiplier Loss function Optimal control
28	MEASUREMENT OF HEARING THREHOLD USING AN AUDIOMETER Theoretical introduction: A precise assessment of hearing function is a frequently performed procedure in otorinolaryngology. It is part of the entrance medical evaluat Add to Reading List Source URL: ubi.lf1.cuni.cz Language: English - Date: 2014-10-05 07:37:18 Sound Audiology Hearing Perception Otology Audiometer Audiogram Audiometry Sensorineural hearing loss Absolute threshold of hearing Hearing loss Headphones
29	The effect of orlistat 120 mg decreased hepatic, renal, or cardiac function, and of concomitant disease or other liver disease, narrow-angle glaucoma, a history of depression, loss of balance or coordination, feeling lig Add to Reading List Source URL: steam5.com Language: English - Date: 2016-08-21 10:23:26 Medicine Chemistry Clinical medicine Lactones Enzyme inhibitors Aldehydes Formamides Hoffmann-La Roche Orlistat Anti-obesity medication Gallstone Sibutramine
30	Bias in Natural Actor-Critic Algorithms Philip S. Thomas Department of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2012-10-01 18:27:53 Statistics Statistical theory Estimation theory Dynamic programming Markov decision process Stochastic control Bias of an estimator Reinforcement learning Loss function Fisher information