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Partially observable Markov decision process
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#	Item
31	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
32	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
33	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
34	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
35	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
36	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
37	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: www.ieor.berkeley.edu Language: English - Date: 2013-04-30 13:17:31 Control theory Motion planning Trajectory optimization Partially observable Markov decision process Kalman filter Collision detection Optimal control Normal distribution Robot Mathematical optimization Statistics Applied mathematics
38	Journal of Artificial Intelligence Research337 Submitted 06/08; publishedMonte Carlo Sampling Methods for Approximating Interactive POMDPs Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-24 14:18:15 Probability and statistics Estimation theory Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Particle filter Importance sampling Kalman filter Statistics Control theory Robot control
39	What Makes Some POMDP Problems Easy to Approximate? David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-10-02 20:38:57 Stochastic control Control theory Partially observable Markov decision process Markov decision process Statistics Dynamic programming Markov processes
40	Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang ZHANGZZ @ COMP. NUS . EDU . SG David Hsu DYHSU @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 06:57:08 Dynamic programming Partially observable Markov decision process Stochastic control Branch and bound NP-complete problems Statistics Mathematics Theoretical computer science