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Markov decision process
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#	Item
41	Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2014-02-16 20:56:29 Robot control Control theory Kalman filter Motion planning Partially observable Markov decision process Robotics Distribution Trajectory optimization
42	Game-based Data Capture for Player Metrics Aline Normoyle and John Drake Maxim Likhachev Alla Safonova Add to Reading List Source URL: www.alinenormoyle.com Language: English - Date: 2012-09-03 19:37:16 Artificial intelligence Software Humancomputer interaction Belief revision Reinforcement learning Markov decision process Dynamic game difficulty balancing Speech recognition
43	Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2013-04-30 13:17:31 Statistics Mathematical analysis Probability Robot control Mathematical optimization Dynamic programming Stochastic control Partially observable Markov decision process Trajectory optimization Kalman filter Motion planning Normal distribution
44	mTunes: Efficient Post-Silicon Tuning of Mixed-Signal/RF Integrated Circuits Based on Markov Decision Process Manzil Zaheer and Fa Wang Chenjie Gu Add to Reading List Source URL: www.manzil.ml Language: English - Date: 2016-01-03 02:26:38
45	Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty Amulya Yadav, Hau Chan1 , Albert Jiang1 , Haifeng Xu, Eric Rice, Milind Tambe University of Southern California, Los Angele Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2016-02-11 22:17:39 Networks Graph theory Network theory Dynamic programming Partially observable Markov decision process Stochastic control Centrality Social network analysis Tree Flow network
46	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Statistics Statistical models Markov models Graphical models Mathematical optimization Operations research Bayesian network Hidden Markov model Dynamic programming Naive Bayes classifier Algorithm Partially observable Markov decision process
47	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value Farahmand, A.-M.; Nikovski, D.N.; Igarashi, Y.; Konaka, H. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-04-13 11:53:14 Mathematical optimization Operations research Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Convolution Optimal control Q-learning
48	Cognitive Science–618 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsInferring Learners’ Knowledge From Their Ac Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-10-08 17:16:40 Dynamic programming Markov processes Stochastic control Cognitive science Probability theory Markov decision process Reinforcement learning Theory of mind Probability Psychology Cognition
49	A Bounded Rationality Account of Wishful Thinking Rebecca Neumann () Cognitive Science Program, University of California, Berkeley, CAUSA Anna N. Rafferty () Computer Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-05-03 19:16:09 Cognitive biases Markov processes Operations research Simulation Optimism bias Wishful thinking Markov chain Partially observable Markov decision process Optimism The Matrix
50	Targeting Specific Distributions of Trajectories in MDPs∗ David L. Roberts1 , Mark J. Nelson1 , Charles L. Isbell, Jr.1 , Michael Mateas1 , Michael L. Littman2 1 2 Add to Reading List Source URL: www.kmjn.org Language: English Dynamic programming Markov processes Stochastic control Belief revision Reinforcement learning Markov decision process Probability distribution