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Benjamin Van Roy
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Analysis of temporal-diffference learning with function approximation
J Tsitsiklis, B Van Roy
Advances in neural information processing systems 9, 1996
17771996
Deep exploration via bootstrapped DQN
I Osband, C Blundell, A Pritzel, B Van Roy
Advances in neural information processing systems 29, 2016
9392016
The linear programming approach to approximate dynamic programming
DP De Farias, B Van Roy
Operations research 51 (6), 850-865, 2003
8512003
Regression methods for pricing complex American-style options
JN Tsitsiklis, B Van Roy
IEEE Transactions on Neural Networks 12 (4), 694-703, 2001
8042001
Feature-based methods for large scale dynamic programming
JN Tsitsiklis, B Van Roy
Machine Learning 22 (1), 59-94, 1996
6621996
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
5692018
Learning to optimize via posterior sampling
D Russo, B Van Roy
Mathematics of Operations Research 39 (4), 1221-1243, 2014
5032014
Markov perfect industry dynamics with many firms
G Weintraub, CL Benkard, B Van Roy
Econometrica 76 (6), 1375-1411, 2008
4852008
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
4542004
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
4461999
Consensus propagation
CC Moallemi, B Van Roy
IEEE Transactions on Information Theory 52 (11), 4753-4766, 2006
2902006
An information-theoretic analysis of thompson sampling
D Russo, B Van Roy
The Journal of Machine Learning Research 17 (1), 2442-2471, 2016
2842016
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
255*2011
Dynamic pricing with a prior on market response
VF Farias, B Van Roy
Operations Research 58 (1), 16-29, 2010
2392010
Generalization and exploration via randomized value functions
I Osband, B Van Roy, Z Wen
International Conference on Machine Learning, 2377-2386, 2016
2372016
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
2121997
Average cost temporal-difference learning
JN Tsitsiklis, B Van Roy
Automatica 35, 319-349, 1999
1981999
Deep Exploration via Randomized Value Functions.
I Osband, B Van Roy, DJ Russo, Z Wen
J. Mach. Learn. Res. 20 (124), 1-62, 2019
1922019
A nonparametric approach to multiproduct pricing
P Rusmevichientong, B Van Roy, PW Glynn
Operations Research 54 (1), 82-98, 2006
1662006
Why is posterior sampling better than optimism for reinforcement learning?
I Osband, B Van Roy
International conference on machine learning, 2701-2710, 2017
1602017
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