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Stochastic programming
Results: 538

#	Item
471	Point-based value iteration: An anytime algorithm for POMDPs Joelle Pineau, Geoff Gordon and Sebastian Thrun Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 12:29:32 Stochastic control Control theory Partially observable Markov decision process Markov decision process Automated planning and scheduling Reinforcement learning Monte Carlo POMDP Statistics Dynamic programming Markov processes
472	Closing the Learning-Planning Loop with PSRs Byron Boots [removed] Sajid M. Siddiqi* [removed] Geoffrey J. Gordon Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-01-15 11:15:38 Stochastic control Markov models Cybernetics Algorithm Partially observable Markov decision process Markov decision process Automated planning and scheduling Machine learning Expectation–maximization algorithm Statistics Dynamic programming Markov processes
473	Closing the Learning-Planning Loop with Predictive State Representations (Extended Abstract) Byron Boots ∗ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-03-03 14:18:55 Stochastic control Markov models Cybernetics Predictive state representation Hidden Markov model Machine learning Markov decision process Algorithm Expectation–maximization algorithm Statistics Markov processes Dynamic programming
474	Lagrangian Relaxation for Large-Scale Multi-Agent Planning∗ (Extended Abstract) Geoffrey J. Gordon† , Pradeep Varakantham‡ , William Yeoh‡ , Hoong Chuin Lau‡ , Ajay S. Aravamudhan‡ and Shih-Fen Cheng‡ † Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-02-29 09:16:26 Convex optimization Dynamic programming Markov processes Stochastic control Lagrangian relaxation Duality Markov decision process Relaxation Randomized rounding Mathematical optimization Statistics Mathematical analysis
475	NBER WORKING PAPER SERIES HOW TO SOLVE DYNAMIC STOCHASTIC MODELS COMPUTING EXPECTATIONS JUST ONCE Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2011-10-06 13:25:52 Mathematical analysis Systems theory Bellman equation Control theory Dynamic programming Integral Differential equation Numerical integration Polynomial Mathematics Equations Mathematical optimization
476	Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-01-16 14:16:52 Dynamic programming Markov processes Stochastic control Operations research Equations Markov decision process A* search algorithm Automated planning and scheduling Mathematical optimization Statistics Mathematics Control theory
477	Planning under Uncertainty for Reliable Health Care Robotics Nicholas Roy1 , Geoffrey Gordon2 , and Sebastian Thrun3 1 2 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-11-30 16:19:00 Markov processes Stochastic control Linear algebra Partially observable Markov decision process Principal component analysis Nonlinear dimensionality reduction Dimension reduction Reinforcement learning Automated planning and scheduling Statistics Multivariate statistics Dynamic programming
478	POMDP Planning for Robust Robot Control Joelle Pineau School of Computer Science McGill University Montreal QC CANADA H3A 2A7 [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-06 10:50:44 Stochastic control Linear filters Markov models Partially observable Markov decision process Markov decision process Kalman filter Recursive Bayesian estimation Reinforcement learning Robotics Statistics Dynamic programming Markov processes
479	Finding Correlated Equilibria in General Sum Stochastic Games Chris Murray and Geoff Gordon June 2007 CMU-ML[removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-06-27 17:53:52 Dynamic programming Game theory Abstract algebra Decision theory Nash equilibrium Markov decision process Constructible universe Bellman equation Vector space Algebra Mathematics Statistics
480	Decentralized Planning under Uncertainty for Teams of Communicating Agents Matthijs T.J. Spaan Geoffrey J. Gordon Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-05-17 10:36:38 Stochastic control Artificial intelligence Control theory Multi-agent systems Partially observable Markov decision process Affect Agent-based model Software agent Markov decision process Statistics Dynamic programming Markov processes

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