Benjamin Van Roy

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	17726	9658
h-индекс	58	42
i10-индекс	119	85

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19971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202346 51 71 72 113 167 162 198 304 338 431 439 559 568 560 630 544 639 615 636 746 992 1292 1680 1853 1989 1844

Публичен достъп

Преглед на всички

5 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Ian OsbandDeepMindПотвърден имейл адрес: google.com
John TsitsiklisProfessor of Electrical Engineering, MITПотвърден имейл адрес: mit.edu
Zheng WenGoogle DeepMindПотвърден имейл адрес: google.com
Daniel RussoColumbia UniversityПотвърден имейл адрес: gsb.columbia.edu
Gabriel Y WeintraubStanford GSBПотвърден имейл адрес: stanford.edu
Ciamac MoallemiProfessor, Graduate School of Business, Columbia UniversityПотвърден имейл адрес: gsb.columbia.edu
Morteza IbrahimiStanford UniversityПотвърден имейл адрес: stanford.edu
Vivek FariasMassachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Paat RusmevichientongProfessor, Marshall School of Business, University of Southern CaliforniaПотвърден имейл адрес: marshall.usc.edu
Abbas KazerouniStanford UniversityПотвърден имейл адрес: stanford.edu
Anant SAHAIEECS, University of California, BerkeleyПотвърден имейл адрес: eecs.berkeley.edu
Alexander PritzelDeepmindПотвърден имейл адрес: google.com
Charles BlundellResearch Scientist at DeepMindПотвърден имейл адрес: google.com
Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityПотвърден имейл адрес: stanford.edu
Yi-Hao KaoPhD Candidate, Electrical Engineering, Stanford UniversityПотвърден имейл адрес: stanford.edu
Hui ZhangCarnegie Mellon University, ConvivaПотвърден имейл адрес: andrew.cmu.edu
Per EngeProfessor, Stanford UniversityПотвърден имейл адрес: stanford.edu
Ramesh GovindanProfessor of Computer Science, University of Southern CaliforniaПотвърден имейл адрес: usc.edu
Ashish GoelProfessor of Management Science and Engineering, and by courtesy, Computer Science, Stanford UniversityПотвърден имейл адрес: stanford.edu
Paul CuffRenaissance TechnologiesПотвърден имейл адрес: rentec.com

Следене

Benjamin Van Roy

Stanford University

Потвърден имейл адрес: stanford.edu - Начална страница

reinforcement learning operations research information theory


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Analysis of temporal-diffference learning with function approximation J Tsitsiklis, B Van Roy Advances in neural information processing systems 9, 1996	2065	1996
Deep exploration via bootstrapped DQN I Osband, C Blundell, A Pritzel, B Van Roy Advances in neural information processing systems 29, 2016	1314	2016
A tutorial on thompson sampling D Russo, B Van Roy, A Kazerouni, I Osband, Z Wen Foundations and Trends in Machine Learning 11 (1), pp. 1-96, 2018	951	2018
The linear programming approach to approximate dynamic programming DP De Farias, B Van Roy Operations research 51 (6), 850-865, 2003	938	2003
Regression methods for pricing complex American-style options JN Tsitsiklis, B Van Roy IEEE Transactions on Neural Networks 12 (4), 694-703, 2001	847	2001
Feature-based methods for large scale dynamic programming JN Tsitsiklis, B Van Roy Machine Learning 22, 59-94, 1996	710	1996
Learning to optimize via posterior sampling D Russo, B Van Roy Mathematics of Operations Research 39 (4), 1221-1243, 2014	683	2014
Markov perfect industry dynamics with many firms G Weintraub, CL Benkard, B Van Roy Econometrica 76 (6), 1375-1411, 2008	551	2008
On constraint sampling in the linear programming approach to approximate dynamic programming DP De Farias, B Van Roy Mathematics of operations research 29 (3), 462-478, 2004	484	2004
Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives JN Tsitsiklis, B Van Roy IEEE Transactions on Automatic Control 44 (10), 1840-1851, 1999	476	1999
An information-theoretic analysis of thompson sampling D Russo, B Van Roy The Journal of Machine Learning Research 17 (1), 2442-2471, 2016	390	2016
Generalization and exploration via randomized value functions I Osband, B Van Roy, Z Wen International Conference on Machine Learning, 2377-2386, 2016	313	2016
Consensus propagation CC Moallemi, B Van Roy IEEE Transactions on Information Theory 52 (11), 4753-4766, 2006	297	2006
Deep Exploration via Randomized Value Functions. I Osband, B Van Roy, DJ Russo, Z Wen J. Mach. Learn. Res. 20 (124), 1-62, 2019	286	2019
Solving data mining problems through pattern recognition RL Kennedy, Y Lee, B Van Roy, CD Reed, RP Lippman Upper Saddle River, NJ: Prentice Hall PTR, 2011	269*	2011
Dynamic pricing with a prior on market response VF Farias, B Van Roy Operations Research 58 (1), 16-29, 2010	258	2010
Why is posterior sampling better than optimism for reinforcement learning? I Osband, B Van Roy International conference on machine learning, 2701-2710, 2017	235	2017
A neuro-dynamic programming approach to retailer inventory management B Van Roy, DP Bertsekas, Y Lee, JN Tsitsiklis Proceedings of the 36th IEEE Conference on Decision and Control 4, 4052-4057, 1997	229	1997
Average cost temporal-difference learning JN Tsitsiklis, B Van Roy Automatica 35, 319-349, 1999	217	1999
Learning to optimize via information-directed sampling D Russo, B Van Roy Advances in Neural Information Processing Systems 27, 2014	213	2014

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