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Markov process
Results: 922

#	Item
51	Hidden Markov Models With Set-Valued Parameters Denis Deratani Mau´aa,∗, Alessandro Antonuccib , Cassio Polpo de Camposc a b Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-03-17 09:50:36 Markov models Bayesian inference Statistical models Markov processes Credal network Probability bounds analysis Credal set Hidden Markov model Bayesian network Markov chain BaumWelch algorithm Stochastic process
52	Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Dept. of Computer Science, Yale University Human-robot teaming has the potential Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:46 Dynamic programming Partially observable Markov decision process Stochastic control Hierarchical task network Robotics Robot
53	CONTINUOUS TIME BAYESIAN NETWORKS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2008-05-19 23:42:02 Statistical models Bayesian network Networks Markov process
54	Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-09-14 21:25:04 Artificial neural networks Computational neuroscience Cybernetics Q-learning Recurrent neural network Reinforcement learning Long short-term memory DQN Markov decision process Sepp Hochreiter Artificial intelligence Quest
55	Coordination in Multiagent Reinforcement Learning: A Bayesian Approach Georgios Chalkiadakis Craig Boutilier Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2009-03-02 16:24:03 Game theory Reinforcement learning Nash equilibrium Q-learning Strategy Partially observable Markov decision process Action selection Best response Bellman equation Zero-sum game Agent-based model Solution concept
56	Bottlenecks drive temporal and spatial genetic changes in alpine caddisfly metapopulations Add to Reading List Source URL: www.michaelelliot.net Language: English - Date: 2016-07-21 07:44:54 Stochastic processes Brownian motion Wiener process Normal distribution Random walk Markov chain Stable distribution Prior probability Ancestral reconstruction Catalog of articles in probability theory
57	Systematic Biology For peer review only. Do not cite. rP Fo Add to Reading List Source URL: www.michaelelliot.net Language: English - Date: 2013-02-13 19:06:31 Stochastic processes Lvy processes Probability distributions Fractals Paul Lvy Brownian motion Wiener process Normal distribution Stable distribution Random walk Markov chain Lvy flight
58	Sutton, Richard PIN Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-10-18 16:05:54 Computational neuroscience Belief revision Reinforcement learning Computational statistics Q-learning Temporal difference learning Artificial neural network Machine learning Markov decision process Mathematical optimization Algorithm Gradient descent
59	Learning from Demonstrations: Is It Worth Estimating a Reward Function? Bilal Piot1,2 , Matthieu Geist1 , Olivier Pietquin1,2 1 Supélec, IMS-MaLIS Research group, France Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2013-10-03 05:33:46 Operations research Dynamic programming Stochastic control Markov processes Reinforcement learning Markov decision process Valuation Algorithm Mathematical optimization
60	Journal of Artificial Intelligence Research Submitted 3/13; publishedA Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-04 20:03:22 Operations research Dynamic programming Mathematical optimization Equations Decision theory Reinforcement learning Markov decision process Bellman equation Policy Partially observable Markov decision process

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