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Stochastic control
Results: 776

#	Item
691	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
692	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
693	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
694	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
695	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
696	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
697	Approximate Solutions For Partially Observable Stochastic Games with Common Payoffs Rosemary Emery-Montemerlo, Geoff Gordon, Jeff Schneider School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-25 15:30:50 Stochastic control Bayesian statistics Artificial intelligence Partially observable Markov decision process Bayesian game Action selection Reinforcement learning Markov decision process Decision theory Statistics Dynamic programming Markov processes
698	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.mcgill.ca Language: English - Date: 2006-01-03 14:50:45 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
699	Policy-contingent abstraction for robust robot control Joelle Pineau, Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 12:29:33 Stochastic control Control theory Partially observable Markov decision process Reinforcement learning Markov decision process Automated planning and scheduling Action selection Bellman equation Abstraction Statistics Dynamic programming Markov processes
700	Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-01-17 12:21:11 Dynamic programming Partially observable Markov decision process Stochastic control Search algorithms Vector space K-d tree Norm Metric tree K-nearest neighbor algorithm Algebra Mathematics Linear algebra

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