Abhijit Gosavi

Citado por

	Todos	Desde 2018
Citações	3789	1648
Índice h	26	20
Índice i10	47	30

320

160

240

1998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202317 10 13 21 25 38 43 71 56 122 101 155 129 163 178 125 174 237 199 225 234 276 273 311 308 245

Acesso público

Ver tudo

2 artigos

0 artigos

disponível

não disponível

Com base em autorizações de financiamento

Coautores

Susan MurrayProfessor of Engineering Management, Missouri S&TEmail confirmado em mst.edu
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstEmail confirmado em cs.umass.edu
Elizabeth CudneyMaryville UniversityEmail confirmado em maryville.edu
Debabrata TalukdarSUNY Buffalo; MIT; Univ. of RochesterEmail confirmado em buffalo.edu
Siddhartha AgarwalIndian Institute of Technology (ISM)Email confirmado em iitism.ac.in
Jane FraserRetired Professor of Engineering, Colorado State University-PuebloEmail confirmado em csupueblo.edu
Chase MurrayAssistant Professor, Industrial & Systems Engineering, University at BuffaloEmail confirmado em buffalo.edu
Lesley SneedProfessor of Civil Engineering, University of Illinois ChicagoEmail confirmado em uic.edu
Giacomo FraioliPh.D. Student, Missouri University of Science and TechnologyEmail confirmado em mst.edu
Robert J. MarleyKoplar Professor, Missouri University of Science and TechnologyEmail confirmado em mst.edu
Sudeep SarkarDistinguished University Professor, Computer Science and Engineering, University of South FloridaEmail confirmado em usf.edu
Changhyun KwonDepartment of Industrial and Systems Engineering, KAISTEmail confirmado em kaist.ac.kr

Seguir

Abhijit Gosavi

Professor at Missouri S&T (formerly University of Missouri-Rolla)

Email confirmado em mst.edu - Página inicial

Reinforcement Learning Simulation-Based Optimization Revenue Management Disaster Response


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Chapters from Simulation-Based Optimization A Gosavi Simulation-Based Optimization, 2015	827*	2015
Reinforcement learning: A tutorial survey and recent advances A Gosavi INFORMS Journal on Computing 21 (2), 178-192, 2009	390	2009
Solving semi-Markov decision problems using average reward reinforcement learning TK Das, A Gosavi, S Mahadevan, N Marchalleck Management Science 45 (4), 560-574, 1999	298	1999
Self-improving factory simulation using continuous-time average-reward reinforcement learning S Mahadevan, N Marchalleck, TK Das, A Gosavi MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 202-210, 1997	198	1997
Joint optimization of product price, display orientation and shelf-space allocation in retail category management CC Murray, D Talukdar, A Gosavi Journal of retailing 86 (2), 125-136, 2010	171	2010
A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking A Gosavii, N Bandla, TK Das IIE transactions 34 (9), 729-742, 2002	171	2002
Reinforcement learning for long-run average cost A Gosavi European journal of operational research 155 (3), 654-674, 2004	167	2004
A risk-sensitive approach to total productive maintenance A Gosavi Automatica 42 (8), 1321-1330, 2006	154	2006
Global supply chain management: a reinforcement learning approach P Pontrandolfo, A Gosavi, OG Okogbaa, TK Das International Journal of Production Research 40 (6), 1299-1317, 2002	130	2002
A reinforcement learning algorithm based on policy iteration for average reward: Empirical results with yield management and convergence analysis A Gosavi Machine Learning 55, 5-29, 2004	118	2004
A reinforcement learning approach for inventory replenishment in vendor-managed inventory systems with consignment inventory Z Sui, A Gosavi, L Lin Engineering Management Journal 22 (4), 44-53, 2010	87	2010
Simulation optimization for revenue management of airlines with cancellations and overbooking A Gosavi, E Ozkaya, AF Kahraman OR spectrum 29, 21-38, 2007	84	2007
Economic design of dual-sampling-interval policies for X charts with and without run rules TK Das, V JAIN, A GOSAVI IIE transactions 29 (6), 497-506, 1997	60	1997
The multi-product price-setting newsvendor with resource capacity constraints CC Murray, A Gosavi, D Talukdar International Journal of Production Economics 138 (1), 148-158, 2012	51	2012
Flexible and intelligent learning architectures for sos (fila-sos): Architectural evolution in systems-of-systems S Agarwal, LE Pape, CH Dagli, NK Ergin, D Enke, A Gosavi, R Qin, ... Procedia Computer Science 44, 76-85, 2015	45	2015
Form errors in precision metrology: a survey of measurement techniques A Gosavi, E Cudney Quality Engineering 24 (3), 369-380, 2012	41	2012
Automated tuning of optimization software parameters M Baz, B Hunsaker, P Brooks, A Gosavi Technical Report TR2007-7, University of Pittsburgh, Department of …, 2007	41	2007
Boundedness of iterates in Q-learning A Gosavi Systems & control letters 55 (4), 347-349, 2006	35	2006
Analyzing Responses from Likert Surveys and Risk-adjusted Ranking: A Data Analytics Perspective. A Gosavi Complex Adaptive Systems 61, 24-31, 2015	34	2015
A tutorial for reinforcement learning A Gosavi The State University of New York at Buffalo, 2017	33*	2017

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações unidas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores