A. Rupam Mahmood
A. Rupam Mahmood
University of Alberta, Amii
Verified email at - Homepage
Cited by
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An emphatic approach to the problem of off-policy temporal-difference learning
RS Sutton, AR Mahmood, M White
(JMLR) Journal of Machine Learning Research 17, 2016
Benchmarking reinforcement learning algorithms on real-world robots
AR Mahmood, D Korenkevych, G Vasan, W Ma, J Bergstra
(CoRL) Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Weighted importance sampling for off-policy learning with linear function approximation
AR Mahmood, H van Hasselt, RS Sutton
(NeurIPS) Advances in Neural Information Processing Systems 27, 2014
True online temporal-difference learning
H van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton
(JMLR) Journal of Machine Learning Research 17, 2016
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
(ICASSP) Acoustics, Speech and Signal Processing, 2012 IEEE International …, 2012
Setting up a reinforcement learning task with a real-world robot
AR Mahmood, D Korenkevych, BJ Komer, J Bergstra
(IROS) 2018 IEEE/RSJ International Conference on Intelligent Robots and …, 2018
Multi-step off-policy learning without importance sampling ratios
AR Mahmood, H Yu, RS Sutton
arXiv preprint arXiv:1702.03006, 2017
Off-policy TD (λ) with a true online equivalence
H van Hasselt, AR Mahmood, RS Sutton
(UAI) Proceedings of the 30th Conference on Uncertainty in Artificial …, 2014
Representation Search through Generate and Test
AR Mahmood, RS Sutton
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
A new Q (λ) with interim forward view and Monte Carlo equivalence
RS Sutton, AR Mahmood, D Precup, M CA, H van Hasselt, U CA
(ICML) In International Conference on Machine Learning, 2014
On generalized Bellman equations and temporal-difference learning
H Yu, AR Mahmood, RS Sutton
(JMLR) The Journal of Machine Learning Research 19 (1), 1864-1912, 2018
Emphatic temporal-difference learning
AR Mahmood, H Yu, M White, RS Sutton
In European Workshops on Reinforcement Learning, 2015
Off-policy learning based on weighted importance sampling with linear computational complexity
AR Mahmood, RS Sutton
(UAI) Proceedings of the 31st Conference on Uncertainty in Artificial …, 2015
Autoregressive policies for continuous control deep reinforcement learning
D Korenkevych, AR Mahmood, G Vasan, J Bergstra
(IJCAI) Proceedings of the 28th International Joint Conference on Artificial …, 2019
Continual backprop: stochastic gradient descent with persistent randomness
S Dohare, RS Sutton, AR Mahmood
arXiv preprint arXiv:2108.06325, 2021
Incremental Off-policy Reinforcement Learning Algorithms
A Mahmood
University of Alberta, 2017
Automatic Step-size Adaptation In Incremental Supervised Learning
A Mahmood
University of Alberta, 2010
Structure Learning of Causal Bayesian Networks: A Survey
A Mahmood
Department of Computing Science, University of Alberta, Edmonton, Canada …, 2011
Greedification operators for policy optimization: investigating forward and reverse KL divergences
A Chan, H Silva, S Lim, T Kozuno, AR Mahmood, M White
(JMLR) Journal of Machine Learning Research, 2022
Real-time real-world reinforcement learning systems and methods
AR Mahmood, BJ Komer, D Korenkevych
US Patent App. 16/560,761, 2020
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