Warrren B Powell

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

Warrren B Powell

Princeton University

Verified email at princeton.edu - Homepage

Stochastic optimization dynamic programming approximate dynamic programming reinforcement learning stochastic programming


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1072	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	603	2008
The knowledge-gradient policy for correlated normal beliefs P Frazier, W Powell, S Dayanik INFORMS journal on Computing 21 (4), 599-613, 2009	558	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	337	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
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming AP George, WB Powell Machine learning 65, 167-198, 2006	246	2006
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	245	2012

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