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Stochastic programming
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11	Optimal Voting Schemes with Costly Information Acquisition∗ Alex Gershkov† Department of Economics, Hebrew University of Jerusalem Add to Reading List Source URL: pluto.huji.ac.il Language: English - Date: 2014-02-02 05:15:05 Social choice theory Political philosophy Politics Public choice theory Game theory Decision theory Psephology Voting system Electronic voting Stochastic programming Mechanism design Independent voter
12	Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103 Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:03 Operations research Numerical analysis Mathematical analysis Numerical linear algebra Applied mathematics Mathematical optimization Online machine learning Sparse approximation Stochastic programming Support vector machine
13	CrossMark_Color_Stacked_p Add to Reading List Source URL: www.eeh.ee.ethz.ch Language: English - Date: 2016-08-09 03:59:25 Stochastic optimization Mathematical optimization Operations research Applied mathematics Stochastic programming Operating reserve Ancillary services Wind power Scenario optimization Mathematical analysis Electrical engineering
14	Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2012-04-19 16:26:14 Statistics Statistical theory Probability Bayesian statistics Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Q-learning Prior probability Conjugate prior
15	How to Calculate P(O) Calculating P(O) Forward Algorithm Backward Algorithm Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-09-29 12:13:11 Markov models Error detection and correction Dynamic programming Applied mathematics Probability Mathematics Viterbi algorithm Forward algorithm Forwardbackward algorithm Algorithm Sequential decoding Stochastic context-free grammar
16	Around Inverse Reinforcement Learning and Score-based Classification Matthieu Geist IMS - MaLIS Research Group (Supélec) Metz, France Add to Reading List Source URL: www.metz.supelec.fr Language: English - Date: 2014-01-18 03:53:53 Machine learning Artificial intelligence Learning Applied mathematics Computational neuroscience Dynamic programming Stochastic control Reinforcement learning Apprenticeship learning Markov decision process Artificial neural network Supervised learning
17	Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare and Georg Ostrovski and Arthur Guez Philip S. Thomas∗ and R´emi Munos Google DeepMind {bellemare,ostrovski,aguez,munos}@google.com; Add to Reading List Source URL: psthomas.com Language: English - Date: 2015-12-12 00:05:18 Mathematics Mathematical optimization Dynamic programming Mathematical analysis Equations Operations research Systems theory Stochastic control Bellman equation Markov decision process Q-learning Reinforcement learning
18	Event-Driven Power Management of Portable Systems Tajana Simunicy Luca Benini Add to Reading List Source URL: seelab.ucsd.edu Language: English - Date: 2012-06-04 16:50:20 Stochastic processes Probability theory Probability Markov processes Mathematical analysis Markov models Dynamic programming Markov decision process Stochastic control Queueing theory M/G/1 queue Markov chain
19	Stochastic Optimal Policies when the Discount Rate Vanishes ? Kazuo Nishimura Institute of Economic Research, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-19 06:01:57 Mathematics Discrete mathematics Algebra Distribution Number theory Stopping time Prime-counting function Draft:Pirate programming
20	Using Plan-Based Reward Shaping To Learn Strategies in StarCraft: Broodwar Kyriakos Efthymiadis Daniel Kudenko Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Cognitive science Cognition Dynamic programming Markov processes Stochastic control Artificial intelligence Belief revision Reinforcement learning Q-learning Markov decision process Action selection Machine learning

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