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Markov decision process
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221	Reinforcement Learning with Hierarchies of Machines Ronald Parr and Stuart Russell Computer Science Division, UC Berkeley, CA[removed]parr,russell @cs.berkeley.edu Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2012-05-29 14:54:19 Dynamic programming Stochastic control Reinforcement learning Markov decision process Q-learning Machine learning Finite-state machine Markov chain Algorithm Statistics Markov processes Markov models
222	Reinforcement Learning as Classification: Leveraging Modern Classifiers Michail G. Lagoudakis Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2003-12-20 17:25:46 Dynamic programming Markov processes Stochastic control Reinforcement learning Support vector machine Markov decision process Supervised learning Temporal difference learning Policy Statistics Machine learning Statistical classification
223	Trial-based Heuristic Tree Search for Finite Horizon MDPs Thomas Keller University of Freiburg Freiburg, Germany [removed] Add to Reading List Source URL: gki.informatik.uni-freiburg.de Language: English - Date: 2013-09-16 03:52:59 Operations research Control theory Mathematical optimization Reinforcement learning Heuristic function Markov decision process Search algorithm Dynamic programming Algorithm Statistics Heuristics Mathematics
224	Modular Value Iteration Through Regional Decomposition Linus Gisslen, Mark Ring, Matthew Luciw, and J¨ urgen Schmidhuber IDSIA Manno-Lugano, 6928, Switzerland Add to Reading List Source URL: agi-conference.org Language: English - Date: 2012-12-09 10:12:52 Markov models Stochastic control Markov decision process Reinforcement learning Bellman equation Markov chain Partially observable Markov decision process Statistics Dynamic programming Markov processes
225	Journal of Artificial Intelligence Research[removed]468 Submitted 1/02; published[removed]Efficient Solution Algorithms for Factored MDPs Carlos Guestrin Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-10-30 16:25:03 Applied mathematics Mathematical optimization Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Function Algorithm Mathematics Statistics Operations research
226	PROST: Probabilistic Planning Based on UCT Thomas Keller and Patrick Eyerich Albert-Ludwigs-Universit¨at Freiburg Institut f¨ur Informatik Georges-K¨ohler-Allee[removed]Freiburg, Germany Add to Reading List Source URL: gki.informatik.uni-freiburg.de Language: English - Date: 2012-05-24 10:56:58 Stochastic control S0 Markov decision process Planning Domain Definition Language Reinforcement learning Automated planning and scheduling Bellman equation Temporal difference learning Tree Statistics Dynamic programming Markov processes
227	IntelligentContractingAgentsLanguage Add to Reading List Source URL: www.aisb.org.uk Language: English - Date: 2008-03-15 17:12:10 Dynamic programming Stochastic control Markov chain Reinforcement learning Partially observable Markov decision process Agent-based model Stochastic process Mathematical optimization Statistics Markov processes Markov models
228	Chapter 1 Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint1 , Amos Storkey2 and Stefan Harmeling3 As this book demonstrates, the development of efficient probabilistic in Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 07:18:55 Missing data Markov decision process Symbol Statistics Estimation theory Expectation–maximization algorithm
229	ICAPS 2012 Tutorial Recent Advances in Continuous Planning Scott Sanner Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-06-26 18:51:09 Automated planning and scheduling Planning Domain Definition Language Partially observable Markov decision process Control theory Artificial intelligence Mathematical sciences Dynamic programming Markov processes Stochastic control
230	Examining Extended Dynamic Scripting in a Tactical Game Framework Jeremy Ludwig1 and Arthur Farley2 1 Stottler Henke Associates San Mateo, CA 94404 Add to Reading List Source URL: www.stottlerhenke.com Language: English - Date: 2009-11-03 19:58:08 Programming paradigms Models of computation Artificial intelligence Complex systems theory Reinforcement learning Q-learning Markov decision process Action selection Scripting language Computing Statistics Software engineering

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