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Markov decision process
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#	Item
111	Efficient Touch Based Localization through Submodularity Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa The Robotics Institute, Carnegie Mellon University {sjavdani, m Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-04-23 14:31:00 Golden ratio Partially observable Markov decision process Static single assignment form Mathematical analysis Limit Function Golden ratio base Mathematics Statistics Submodular set function
112	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: jair.org Language: English - Date: 2013-10-18 15:20:49 Systems theory Mathematical optimization Operations research Equations Stochastic control Reinforcement learning Markov decision process Bellman equation Policy Statistics Control theory Dynamic programming
113	Monte Carlo Value Iteration with Macro-Actions Zhan Wei Lim David Hsu Wee Sun Lee Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-11-09 00:33:14 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Reinforcement learning Macro Algorithm Statistics Dynamic programming Markov processes
114	DESPOT: Online POMDP Planning with Regularization Adhiraj Somani Nan Ye David Hsu Wee Sun Lee Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-05-28 05:12:40 Stochastic control Control theory Partially observable Markov decision process R-tree B-tree Tree traversal Markov decision process Statistics Dynamic programming Markov processes
115	Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs Haoyu Bai∗ David Hsu∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-05-30 06:03:31 Markov processes Stochastic control Systems theory Partially observable Markov decision process Monte Carlo POMDP Markov decision process Automated planning and scheduling Collision avoidance Traffic collision avoidance system Statistics Control theory Dynamic programming
116	Automatic Synthesis of Rules for Planning in Belief Space Leslie Pack Kaelbling MIT CSAIL Cambridge, MAEmail: Add to Reading List Source URL: faculty.cua.edu Language: English - Date: 2015-05-26 14:10:44 Stochastic control Control theory Logic in computer science Partially observable Markov decision process Fluent Probability Markov decision process Statistics Dynamic programming Markov processes
117	Investigating Contingency Awareness Using Atari 2600 Games Marc G. Bellemare and Joel Veness and Michael Bowling University of Alberta, Edmonton, Canada {mg17,veness,bowling}@cs.ualberta.ca Add to Reading List Source URL: jveness.info Language: English - Date: 2012-06-04 14:49:01 Computational neuroscience Behaviorism Reinforcement learning Markov decision process Supervised learning Reinforcement Temporal difference learning Atari Q-learning Machine learning Statistics Artificial intelligence
118	IN Proc. Robotics: Science & Systems, 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2008-07-11 05:03:32 Stochastic control Theoretical computer science Partially observable Markov decision process Motion planning Markov decision process Algorithm Symbol Normal distribution Statistics Dynamic programming Markov processes
119	Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence Stephanie Rosenthal∗ , Dan Bohus, Ece Kamar, Eric Horvitz Microsoft Research Redmond, WA USA , {dbohus, eckam Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-04-24 04:58:18 Mental processes Philosophy of religion Economic model Belief Partially observable Markov decision process BT Group Reinforcement learning Perception Action selection Mind Ethology Knowledge
120	Journal of Artificial Intelligence Research–59 Submitted 12/07; publishedA Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains Add to Reading List Source URL: jair.org Language: English - Date: 2009-01-27 12:23:05 Operations research Mathematical optimization Dynamic programming Search algorithms Markov processes Markov decision process Automated planning and scheduling Reinforcement learning Linear programming Mathematics Statistics Applied mathematics

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