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Q-learning
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361	EST. TELEPHONE: Please include AREA CODE. Customer Number Add to Reading List Source URL: www.medalsofamerica.com Language: English - Date: 2015-01-05 13:51:57 Vision Learning Q Engraving Arts
362	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
363	LOGO_frontiersinpsychology Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-03-19 13:42:21 Cognitive architecture Reinforcement learning Q-learning Temporal difference learning Motivation Action selection Modularity SARSA ACT-R Artificial intelligence Behavior Mind
364	Q. Can you recommend a quick conflict resolution strategy that supervisors can use? Is there such a “formula” – an A, B, C approach? Then, if that doesn’t work, we can refer to the EAP. A. There are thousands of Add to Reading List Source URL: www.cwu.edu Language: English - Date: 2014-12-03 18:51:25 Computer network security Wireless networking Occupational safety and health Communication Technology Behavior Extensible Authentication Protocol Wireless security Learning Skill Supervisor
365	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
366	Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen Zhixiang (Eddie) Xu Kilian Q. Weinberger Washington University, St. Louis, MO 63130, USA Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2012-06-08 12:48:27 Support vector machine Machine learning Artificial intelligence Neural networks Statistics Statistical classification Learning
367	Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures Phong Q. Nguyen?1 and Oded Regev??2 ´ CNRS & Ecole normale sup´erieure, DI, 45 rue d’Ulm, 75005 Paris, France. Add to Reading List Source URL: www.iacr.org Language: English - Date: 2008-09-15 01:06:09 Post-quantum cryptography Linear algebra NTRUSign GGH signature scheme GGH encryption scheme Lattice reduction Lattice Parallelepiped Vector space Cryptography Algebra Mathematics
368	Automatic Feature Decomposition for Single View Co-training Minmin Chen, Kilian Q. Weinberger, Yixin Chen mc15, kilian, [removed] Washington University in Saint Louis, 1 Brookings Dr., Saint Louis, MO[removed]USA Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2011-05-16 13:38:17 Artificial intelligence Co-training Linear classifier Supervised learning Semi-supervised learning Support vector machine Classifier Naive Bayes classifier Random subspace method Statistics Machine learning Statistical classification
369	Large Margin Multi-Task Metric Learning Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2010-11-15 23:17:09 Computational neuroscience Statistical classification Learning Support vector machine K-nearest neighbor algorithm Large margin nearest neighbor Kernel methods Neural network Pattern recognition Machine learning Statistics Artificial intelligence
370	Co-Training for Domain Adaptation Minmin Chen, Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-22 13:15:05 Supervised learning Co-training Statistical classification Active learning Boosting Linear classifier Pattern recognition Machine learning Artificial intelligence Learning

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