A. Rupam Mahmood
Citado por
Citado por
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning
RS Sutton, AR Mahmood, M White
Journal of Machine Learning Research 17, 2016
Weighted importance sampling for off-policy learning with linear function approximation
AR Mahmood, H van Hasselt, RS Sutton
Advances in Neural Information Processing Systems 27, 2014
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
AR Mahmood, D Korenkevych, G Vasan, W Ma, J Bergstra
Proceedings of the 2nd Annual Conference on Robot Learning (CoRL), 2018
True Online Temporal-Difference Learning
H van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton
Journal of Machine Learning Research 17, 2016
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012
Off-policy TD (λ) with a true online equivalence
H van Hasselt, AR Mahmood, RS Sutton
Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence …, 2014
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
Setting up a reinforcement learning task with a real-world robot
AR Mahmood, D Korenkevych, BJ Komer, J Bergstra
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Multi-step Off-policy Learning Without Importance Sampling Ratios
AR Mahmood, H Yu, RS Sutton
arXiv preprint arXiv:1702.03006, 2017
Representation Search through Generate and Test
AR Mahmood, RS Sutton
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
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
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015
On generalized bellman equations and temporal-difference learning
H Yu, AR Mahmood, RS Sutton
The Journal of Machine Learning Research 19 (1), 1864-1912, 2018
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D Korenkevych, AR Mahmood, G Vasan, J Bergstra
Proceedings of the 28th International Joint Conference on Artificial …, 2019
Incremental Off-policy Reinforcement Learning Algorithms
A Mahmood
University of Alberta, 2017
Structure Learning of Causal Bayesian Networks: A Survey
A Mahmood
Department of Computing Science, University of Alberta, Edmonton, Canada …, 2011
Automatic step-size adaptation in incremental supervised learning
A Mahmood
University of Alberta, 2010
Real-time real-world reinforcement learning systems and methods
AR Mahmood, BJ Komer, D Korenkevych
US Patent App. 16/560,761, 2020
Model-free Policy Learning with Reward Gradients
Q Lan, S Tosatto, H Farrahi, AR Mahmood
The 25th International Conference on Artificial Intelligence and Statistics …, 2022
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
A Chan, H Silva, S Lim, T Kozuno, AR Mahmood, M White
arXiv preprint arXiv:2107.08285, 2021
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20