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Markov process
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11	Drift Analysis A Tool for Analysing Randomised Search Heuristics1 Per Kristian Lehre ASAP Research Group School of Computer Science Add to Reading List Source URL: staffwww.dcs.shef.ac.uk Language: English - Date: 2014-04-25 12:10:39 Probability theory Mathematical analysis Probability Mathematics Probability axioms Event Sigma-algebra Stochastic process Martingale Markov chain Probability space
12	I N F S Y S R E S E A R C H R Add to Reading List Source URL: www.kr.tuwien.ac.at Language: English - Date: 2007-04-14 17:36:30 Artificial intelligence Logic programming Academia Decision theory Game theory Non-cooperative games Situation calculus Nash equilibrium Zero-sum game Markov decision process Strategy Mathematical optimization
13	IFAAMAS Board Elections 2016 Statement Bio Matthijs Spaan is an assistant professor of Computer Science at Delft University of Technology, the Netherlands. He holds a PhD degree in Computer Scienceand an MSc degr Add to Reading List Source URL: www.aamas-conference.org Language: English - Date: 2016-03-14 20:09:09 Artificial intelligence Systems science Academia International Conference on Autonomous Agents and Multiagent Systems Reinforcement learning International Joint Conference on Artificial Intelligence Agent-based model Partially observable Markov decision process Multi-agent system Intelligent agent Peter Stone
14	Master thesis ANALYSIS OF A SIMPLE METHOD TO APPROXIMATE THE EXPECTED STATE OF A MARKOV CHAIN By Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:24 Markov models Probability theory Statistics Probability Probabilistic complexity theory Markov processes Statistical models Graph theory Markov chain Randomized algorithm Stochastic process Algorithm
15	Chapter 1 Introduction The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-01-10 02:39:32 Cognition Psychology Academia Behaviorism Educational psychology Belief revision Reinforcement learning Computational neuroscience Reinforcement Markov decision process Machine learning Learning
16	From FOND to Probabilistic Planning: Guiding search for quality policies Alberto Camacho† , Christian Muise∗ , Akshay Ganeshen† , Sheila A. McIlraith† † Department of Computer Science, University of Toronto Dep Add to Reading List Source URL: www.haz.ca Language: English - Date: 2015-05-09 01:33:31 Probability Amyloidosis Logic Formal epistemology Non-classical logic Probabilistic logic Automated planning and scheduling PRNP Markov decision process Planning Domain Definition Language PP
17	A Hidden Markov Stochastic Volatility Model for Energy Prices Robert J. Elliott∗ Tao Lin† Hong Miao‡ To describe the complex behavior of energy prices, we propose a stochastic volatility model, where Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:47:21 Mathematical finance Economy Applied mathematics Finance Volatility Stochastic volatility OrnsteinUhlenbeck process Benchmark CoxIngersollRoss model International Petroleum Exchange Volatility smile Implied volatility
18	Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac Add to Reading List Source URL: h2r.cs.brown.edu Language: English - Date: 2016-03-28 19:05:32 Cognitive science Artificial intelligence Automated planning and scheduling Probability Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Motion planning Action selection Prior probability
19	Master thesis ANALYSIS OF A SIMPLE METHOD TO APPROXIMATE THE EXPECTED STATE OF A MARKOV CHAIN By Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:29 Probability Markov models Probabilistic complexity theory Markov processes Statistics Graph theory Markov chain Randomized algorithm Stochastic process Algorithm Catalog of articles in probability theory
20	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain

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