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Partially observable Markov decision process
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41	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: 2014-02-06 02:22:24 Stochastic control Control theory Partially observable Markov decision process R-tree B-tree Tree traversal Markov decision process Statistics Dynamic programming Markov processes
42	Journal of Artificial Intelligence Research420 Submitted 07/04; publishedHybrid BDI-POMDP Framework for Multiagent Teaming Ranjit Nair Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2008-10-14 03:57:19 Ethology Action selection Belief–desire–intention model Partially observable Markov decision process Reactive planning Agent-based model Milind Tambe Multi-agent systems Artificial intelligence Science
43	T O APPEAR IN International Jounral of Robotics Research Planning under Uncertainty for Robotic Tasks with Mixed Observability Sylvie C.W. Ong Department of Computer Science, National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:19:53 Stochastic control Control theory Systems theory Cybernetics Partially observable Markov decision process Markov decision process Automated planning and scheduling Observability State space Statistics Dynamic programming Markov processes
44	Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:17:28 Stochastic control Markov models Partially observable Markov decision process Bayesian statistics Reinforcement learning Markov decision process Conjugate prior Markov chain Q-learning Statistics Markov processes Dynamic programming
45	Integrated Perception and Planning in the Continuous Space: A POMDP Approach Haoyu Bai David Hsu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-09-25 21:49:37 Stochastic control Control theory Partially observable Markov decision process Monte Carlo POMDP Markov decision process Algorithm Maximum likelihood Statistics Dynamic programming Markov processes
46	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:05:05 Stochastic control Partially observable Markov decision process Motion planning Automated planning and scheduling Markov decision process S0 Probabilistic roadmap Reinforcement learning Sampling Statistics Dynamic programming Markov processes
47	Journal of Articial Intelligence Research423 Submitted 2/02; published 6/02 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2008-10-14 03:56:35 Stochastic control Multi-agent systems Partially observable Markov decision process Agent-based model Reinforcement learning Markov decision process Communication Statistics Dynamic programming Markov processes
48	Structured Parameter Elicitation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-01-17 20:01:45 Stochastic control Statistical theory Estimation theory Statistics Dynamic programming Partially observable Markov decision process
49	Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-01 20:57:56 Markov processes Stochastic control Mathematical sciences Operations research Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Algorithm Statistics Control theory Dynamic programming
50	Monte Carlo Value Iteration for Continuous-State POMDPs Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo Abstract Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:20:12 Stochastic control Control theory Partially observable Markov decision process Markov decision process Gaussian function Continuous function Statistics Dynamic programming Markov processes