Mehdi Fatemi
Mehdi Fatemi
Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Cognitive Control
S Haykin, M Fatemi, P Setoodeh, Y Xue
IEEE, 2012
Hybrid reward architecture for reinforcement learning
H Van Seijen, M Fatemi, J Romoff, R Laroche, T Barnes, J Tsang
Advances in Neural Information Processing Systems 30, 2017
Policy networks with two-stage training for dialogue systems
M Fatemi, LE Asri, H Schulz, J He, K Suleman
arXiv preprint arXiv:1606.03152, 2016
Cognitive control: Theory and application
M Fatemi, S Haykin
IEEE Access 2, 698-710, 2014
Hybrid reward architecture for reinforcement learning
HH Van Seijen, SM Fatemi Booshehri, RMH Laroche, JS Romoff
US Patent 10,977,551, 2021
Medical dead-ends and learning to identify high-risk states and treatments
M Fatemi, TW Killian, J Subramanian, M Ghassemi
Advances in Neural Information Processing Systems 34, 4856-4870, 2021
An empirical study of representation learning for reinforcement learning in healthcare
TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi
arXiv preprint arXiv:2011.11235, 2020
Using a logarithmic mapping to enable lower discount factors in reinforcement learning
H Van Seijen, M Fatemi, A Tavakoli
Advances in Neural Information Processing Systems 32, 2019
Multi-advisor reinforcement learning
R Laroche, M Fatemi, J Romoff, H van Seijen
arXiv preprint arXiv:1704.00756, 2017
Dead-ends and secure exploration in reinforcement learning
M Fatemi, S Sharma, H Van Seijen, SE Kahou
International Conference on Machine Learning, 1873-1881, 2019
Learning to represent action values as a hypergraph on the action vertices
A Tavakoli, M Fatemi, P Kormushev
arXiv preprint arXiv:2010.14680, 2020
Separation of concerns in reinforcement learning
H van Seijen, M Fatemi, J Romoff, R Laroche
arXiv preprint arXiv:1612.05159, 2016
Observability of stochastic complex networks under the supervision of cognitive dynamic systems
M Fatemi, P Setoodeh, S Haykin
Journal of Complex Networks 5 (3), 433-460, 2017
Semi-markov offline reinforcement learning for healthcare
M Fatemi, M Wu, J Petch, W Nelson, SJ Connolly, A Benz, A Carnicelli, ...
Conference on Health, Inference, and Learning, 119-137, 2022
Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain
S Haykin, A Amiri, M Fatemi
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
Discrete event control of an unmanned aircraft
M Fatemi, J Millan, J Stevenson, T Yu, S O'Young
2008 9th International Workshop on Discrete Event Systems, 352-357, 2008
Systematic rectification of language models via dead-end analysis
M Cao, M Fatemi, JCK Cheung, S Shabanian
arXiv preprint arXiv:2302.14003, 2023
Orchestrated value mapping for reinforcement learning
M Fatemi, A Tavakoli
arXiv preprint arXiv:2203.07171, 2022
Post-training on RBF neural networks
F Shabaninia, M Roopaei, M Fatemi
Nonlinear Analysis: Hybrid Systems 1 (4), 491-500, 2007
Shortest-path constrained reinforcement learning for sparse reward tasks
S Sohn, S Lee, J Choi, H van Seijen, M Fatemi, H Lee
arXiv preprint arXiv:2107.06405, 2021
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