Fast gradient-descent methods for temporal-difference learning with linear function approximation RS Sutton, HR Maei, D Precup, S Bhatnagar, D Silver, C Szepesvári, ...
Proceedings of the 26th annual international conference on machine learning …, 2009
727 2009 Convergent temporal-difference learning with arbitrary smooth function approximation HR Maei, S Szepesvári, Csaba, Bhatnagar, D Precup, D Silver, RS Sutton
Advances in Neural Information Processing Systems, 1204-1212, 2009
350 2009 Toward off-policy learning control with function approximation. HR Maei, C Szepesvári, S Bhatnagar, RS Sutton
ICML 10, 719-726, 2010
342 2010 Optimal demand response using device-based reinforcement learning Z Wen, D O’Neill, H Maei
IEEE Transactions on Smart Grid 6 (5), 2312-2324, 2015
320 2015 Involvement of the anterior cingulate cortex in the expression of remote spatial memory CM Teixeira, SR Pomedli, HR Maei, N Kee, PW Frankland
Journal of Neuroscience 26 (29), 7555-7564, 2006
316 2006 A Convergent RS Sutton, H Maei, C Szepesvári
Advances in neural information processing systems 21, 2008
277 2008 What is the most sensitive measure of water maze probe test performance? HR Maei, K Zaslavsky, CM Teixeira, PW Frankland
Frontiers in integrative neuroscience 3, 493, 2009
251 2009 A convergent O (n) algorithm for off-policy temporal-difference learning with linear function approximation RS Sutton, C Szepesvári, HR Maei
Advances in neural information processing systems 21 (21), 1609-1616, 2008
241 2008 Gradient temporal-difference learning algorithms HR Maei
210 2011 GQ (lambda): A general gradient algorithm for temporal-difference prediction learning with eligibility traces HR Maei, RS Sutton
3d Conference on Artificial General Intelligence (AGI-2010), 100-105, 2010
163 2010 Deep reinforcement learning for visual object tracking in videos D Zhang, H Maei, X Wang, YF Wang
arXiv preprint arXiv:1701.08936, 2017
140 2017 Randomly connected networks have short temporal memory E Wallace, HR Maei, PE Latham
Neural computation 25 (6), 1408-1439, 2013
43 2013 Convergent actor-critic algorithms under off-policy training and function approximation HR Maei
arXiv preprint arXiv:1802.07842, 2018
38 2018 Development and validation of a sensitive entropy-based measure for the water maze HR Maei, K Zaslavsky, AH Wang, AP Yiu, CM Teixeira, SA Josselyn, ...
Frontiers in integrative neuroscience 3, 870, 2009
28 2009 Correlated quantum percolation in the lowest Landau level N Sandler, HR Maei, J Kondev
Physical Review B—Condensed Matter and Materials Physics 70 (4), 045309, 2004
26 2004 A batch, off-policy, actor-critic algorithm for optimizing the average reward SA Murphy, Y Deng, EB Laber, HR Maei, RS Sutton, K Witkiewitz
arXiv preprint arXiv:1607.05047, 2016
24 2016 Quantum and classical localization in the lowest Landau level N Sandler, HR Maei, J Kondev
Physical Review B 68 (20), 205315, 2003
14 2003 How can realistic networks process time-varying signals? H Maei
PQDT-Global, 2005
3 2005 A novel analytic measure for the water maze utilizing the concept of entropy HR Lee, BK Kaang
Frontiers in Neuroscience 4, 1825, 2010
2010 Convergent Temporal-Difference Learning with Arbitrary Differentiable Function Approximator HR Maei, C Szepesvári, S Bhathnagar, D Silver, D Precup, R Sutton
2010 
Richard S. SuttonKeen, Amii, and University of AlbertaAdresse e-mail validée de richsutton.com
