Warrren B Powell

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Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityEmail verificata su cornell.edu
Ilya O. RyzhovRobert H. Smith School of Business, University of MarylandEmail verificata su umd.edu
Savas DayanikBilkent University, Departments of Industrial Engineering and MathematicsEmail verificata su bilkent.edu.tr
Huseyin TopalogluCornell UniversityEmail verificata su orie.cornell.edu
Zhi-Long ChenUniversity of MarylandEmail verificata su umd.edu
Juliana NascimentoEmail verificata su alumni.princeton.edu
Daniel R. JiangMeta & University of PittsburghEmail verificata su meta.com
Yingfei WangUniversity of WashingtonEmail verificata su uw.edu
Lina Al-KanjAssociate Research Scholar, Princeton UniversityEmail verificata su princeton.edu
Boris DefournyLehigh UniversityEmail verificata su lehigh.edu
Katerina PapadakiOperations Research, Department of Mathematics, LSEEmail verificata su lse.ac.uk
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Daniel F. SalasData Scientist at WeWorkEmail verificata su princeton.edu
Hani MahmassaniW. A. Patterson Chair in Transportation; Director, Northwestern University Transportation CenterEmail verificata su northwestern.edu
Donghun LeeKorea UniversityEmail verificata su korea.ac.kr
Kristofer ReyesMaterials Design and Innovation, University at BuffaloEmail verificata su buffalo.edu
Stephan MeiselAssociate Professor, University of TwenteEmail verificata su utwente.nl
Michael CoulonSenior Lecturer in Finance, University of SussexEmail verificata su sussex.ac.uk
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityEmail verificata su ldeo.columbia.edu
Roger N. AndersonColumbia UniversityEmail verificata su ldeo.columbia.edu

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Warrren B Powell

Princeton University

Email verificata su princeton.edu - Home page

Stochastic optimization dynamic programming approximate dynamic programming reinforcement learning stochastic programming


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Approximate Dynamic Programming: Solving the curses of dimensionality WB Powell John Wiley & Sons, 2007	4951	2007
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	1073	2004
A knowledge-gradient policy for sequential information collection PI Frazier, WB Powell, S Dayanik SIAM Journal on Control and Optimization 47 (5), 2410-2439, 2008	605	2008
The knowledge-gradient policy for correlated normal beliefs P Frazier, W Powell, S Dayanik INFORMS journal on Computing 21 (4), 599-613, 2009	559	2009
Stochastic and dynamic networks and routing WB Powell, P Jaillet, A Odoni Handbooks in operations research and management science 8, 141-295, 1995	514	1995
An algorithm for the equilibrium assignment problem with random link times Y Sheffi, WB Powell Networks 12 (2), 191-207, 1982	463	1982
The convergence of equilibrium algorithms with predetermined step sizes WB Powell, Y Sheffi Transportation Science 16 (1), 45-55, 1982	405	1982
A transportation network evacuation model Y Sheffi, H Mahmassani, WB Powell Transportation research part A: general 16 (3), 209-218, 1982	386	1982
Optimal learning WB Powell, IO Ryzhov John Wiley & Sons, 2012	377	2012
A Unified Framework for Stochastic Optimization WB Powell European Journal of Operational Research 275 (3), 795-821, 2019	338	2019
An optimization-based heuristic for vehicle routing and scheduling with soft time window constraints YA Koskosidis, WB Powell, MM Solomon Transportation science 26 (2), 69-85, 1992	309	1992
An adaptive dynamic programming algorithm for dynamic fleet management, I: Single period travel times GA Godfrey, WB Powell Transportation Science 36 (1), 21-39, 2002	292	2002
Dynamic-programming approximations for stochastic time-staged integer multicommodity-flow problems H Topaloglu, WB Powell INFORMS Journal on Computing 18 (1), 31-42, 2006	283	2006
Solving parallel machine scheduling problems by column generation ZL Chen, WB Powell INFORMS Journal on Computing 11 (1), 78-94, 1999	280	1999
An adaptive, distribution-free algorithm for the newsvendor problem with censored demands, with applications to inventory and distribution GA Godfrey, WB Powell Management Science 47 (8), 1101-1112, 2001	277	2001
What you should know about approximate dynamic programming WB Powell Naval Research Logistics (NRL) 56 (3), 239-249, 2009	271	2009
The correlated knowledge gradient for simulation optimization of continuous parameters using gaussian process regression W Scott, P Frazier, W Powell SIAM Journal on Optimization 21 (3), 996-1026, 2011	260	2011
A stochastic formulation of the dynamic assignment problem, with an application to truckload motor carriers WB Powell Transportation Science 30 (3), 195-219, 1996	252	1996
The knowledge gradient algorithm for a general class of online learning problems IO Ryzhov, WB Powell, PI Frazier Operations Research 60 (1), 180-195, 2012	246	2012
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming AP George, WB Powell Machine learning 65, 167-198, 2006	246	2006

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