Doina Precup
Doina Precup
DeepMind and McGill University
Verified email at
TitleCited byYear
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
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
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
Eligibility traces for off-policy policy evaluation
D Precup
Computer Science Department Faculty Publication Series, 80, 2000
Deep reinforcement learning that matters
P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
The option-critic architecture
PL Bacon, J Harb, D Precup
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Off-policy temporal-difference learning with function approximation
D Precup, RS Sutton, S Dasgupta
ICML, 417-424, 2001
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
Temporal abstraction in reinforcement learning.
D Precup
Algorithms for multi-armed bandit problems
V Kuleshov, D Precup
arXiv preprint arXiv:1402.6028, 2014
Learning options in reinforcement learning
M Stolle, D Precup
International Symposium on abstraction, reformulation, and approximation …, 2002
Automatic basis function construction for approximate dynamic programming and reinforcement learning
PW Keller, S Mannor, D Precup
Proceedings of the 23rd international conference on Machine learning, 449-456, 2006
Convergent temporal-difference learning with arbitrary smooth function approximation
S Bhatnagar, D Precup, D Silver, RS Sutton, HR Maei, C Szepesvári
Advances in Neural Information Processing Systems, 1204-1212, 2009
Metrics for finite Markov decision processes
N Ferns, P Panangaden, D Precup
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
Theoretical results on reinforcement learning with temporally abstract options
D Precup, RS Sutton, S Singh
European conference on machine learning, 382-393, 1998
Multi-time models for temporally abstract planning
D Precup, RS Sutton
Advances in neural information processing systems, 1050-1056, 1998
Activity and gait recognition with time-delay embeddings
J Frank, S Mannor, D Precup
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Intra-Option Learning about Temporally Abstract Actions.
RS Sutton, D Precup, SP Singh
ICML 98, 556-564, 1998
Sparse distributed memories for on-line value-based reinforcement learning
B Ratitch, D Precup
European Conference on Machine Learning, 347-358, 2004
Between MDPs and Semi-MDPs: Learning, planning, and representing knowledge at multiple temporal scales
RS Sutton
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Articles 1–20