עקוב אחר
Doina Precup
Doina Precup
DeepMind and McGill University
כתובת אימייל מאומתת בדומיין cs.mcgill.ca
כותרת
צוטט על ידי
צוטט על ידי
שנה
The multimodal brain tumor image segmentation benchmark (BRATS)‏
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...‏
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014‏
54602014
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning‏
RS Sutton, D Precup, S Singh‏
Artificial intelligence 112 (1-2), 181-211, 1999‏
43301999
Deep reinforcement learning that matters‏
P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger‏
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018‏
22572018
Off-policy deep reinforcement learning without exploration‏
S Fujimoto, D Meger, D Precup‏
International conference on machine learning, 2052-2062, 2019‏
13982019
The option-critic architecture‏
PL Bacon, J Harb, D Precup‏
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017‏
11952017
Eligibility traces for off-policy policy evaluation‏
D Precup‏
Computer Science Department Faculty Publication Series, 80, 2000‏
9242000
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
7022009
Learning with pseudo-ensembles‏
P Bachman, O Alsharif, D Precup‏
Advances in neural information processing systems 27, 2014‏
6362014
Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction‏
RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup‏
The 10th International Conference on Autonomous Agents and Multiagent …, 2011‏
5802011
Algorithms for multi-armed bandit problems‏
V Kuleshov, D Precup‏
arXiv preprint arXiv:1402.6028, 2014‏
5372014
Reward is enough‏
D Silver, S Singh, D Precup, RS Sutton‏
Artificial Intelligence 299, 103535, 2021‏
5162021
Off-policy temporal-difference learning with function approximation‏
D Precup, RS Sutton, S Dasgupta‏
ICML, 417-424, 2001‏
4582001
Learning options in reinforcement learning‏
M Stolle, D Precup‏
Abstraction, Reformulation, and Approximation: 5th International Symposium …, 2002‏
4532002
Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation‏
T Nair, D Precup, DL Arnold, T Arbel‏
Medical image analysis 59, 101557, 2020‏
4472020
Temporal abstraction in reinforcement learning‏
D Precup‏
University of Massachusetts Amherst, 2000‏
3892000
Metrics for Finite Markov Decision Processes.‏
N Ferns, P Panangaden, D Precup‏
UAI 4, 162-169, 2004‏
3382004
Convergent temporal-difference learning with arbitrary smooth function approximation‏
H Maei, C Szepesvari, S Bhatnagar, D Precup, D Silver, RS Sutton‏
Advances in neural information processing systems 22, 2009‏
3302009
Conditional computation in neural networks for faster models‏
E Bengio, PL Bacon, J Pineau, D Precup‏
arXiv preprint arXiv:1511.06297, 2015‏
3292015
Reproducibility of benchmarked deep reinforcement learning tasks for continuous control‏
R Islam, P Henderson, M Gomrokchi, D Precup‏
arXiv preprint arXiv:1708.04133, 2017‏
3052017
Gradient starvation: A learning proclivity in neural networks‏
M Pezeshki, O Kaba, Y Bengio, AC Courville, D Precup, G Lajoie‏
Advances in Neural Information Processing Systems 34, 1256-1272, 2021‏
2402021
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מאמרים 1–20