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Partially observable Markov decision process
Results: 193

#	Item
141	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:08 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
142	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous THEOCHAR @ AI . MIT. EDU Kevin Murphy MURPHYK @ AI . MIT. EDU Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:50 Dynamic programming Stochastic control Hierarchical hidden Markov model Partially observable Markov decision process Hidden Markov model Markov decision process Expectation–maximization algorithm Markov chain Belief propagation Statistics Markov processes Markov models
143	Monitoring as a partially observable decision problem Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2014-07-23 10:49:33 Stochastic control Markov models Partially observable Markov decision process Probability and statistics Markov chain Markov decision process Environmental monitoring Bellman equation Adaptive management Statistics Markov processes Dynamic programming
144	Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs Jilles S. Dibangoye Christopher Amato Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:10:29 Dynamic programming Stochastic control Mathematical sciences Markov processes Partially observable Markov decision process Markov decision process Reinforcement learning Algorithm Mathematical optimization Statistics Control theory Operations research
145	Influence-based Abstraction for Multiagent Systems Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-04-17 07:47:49 Stochastic control Multi-agent systems Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Agent-based model Markov chain Affect Statistics Markov processes Dynamic programming
146	Optimally Solving Dec-POMDPs as Continuous-State MDPs Jilles Steeve Dibangoye Inria / Universit´e de Lorraine Nancy, France [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-08-12 12:17:22 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Heuristic function Mathematical optimization Statistics Dynamic programming Markov processes
147	Tree-based Solution Methods for Multiagent POMDPs with Delayed Communication Frans A. Oliehoek Matthijs T.J. Spaan Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-25 09:33:21 Dynamic programming Partially observable Markov decision process Stochastic control Pruning Inner product space Branch and bound TATA-binding protein FO Control theory Mathematics Statistics
148	Automatic Synthesis of Rules for Planning in Belief Space Leslie Pack Kaelbling MIT CSAIL Cambridge, MA[removed]Email: [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-09-24 22:07:15 Stochastic control Control theory Logic in computer science Partially observable Markov decision process Fluent Probability Markov decision process Statistics Dynamic programming Markov processes
149	POMCoP: Belief Space Planning for Sidekicks in Cooperative Games Owen Macindoe, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez CSAIL, 32 Vassar Street Cambridge, Massachusetts, [removed]Abstract Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-10-18 15:45:42 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Danger Hiptop Economic model Borland Sidekick Simulation S0 Statistics Dynamic programming Markov processes
150	Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2014-03-18 11:50:39 Systems theory Mathematical optimization Markov processes Stochastic control Multi-agent systems Partially observable Markov decision process Automated planning and scheduling Markov decision process Action selection Statistics Dynamic programming Control theory

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