Dotan Di Castro
Dotan Di Castro
Bosch Center for AI, Haifa, Israel
Verified email at bosch.com
Title
Cited by
Cited by
Year
Memristor-based multilayer neural networks with online gradient descent training
D Soudry, D Di Castro, A Gal, A Kolodny, S Kvatinsky
IEEE transactions on neural networks and learning systems 26 (10), 2408-2421, 2015
2202015
Policy gradients with variance related risk criteria
D Di Castro, A Tamar, S Mannor
arXiv preprint arXiv:1206.6404, 2012
1252012
Contextual markov decision processes
A Hallak, D Di Castro, S Mannor
arXiv preprint arXiv:1502.02259, 2015
642015
You've got mail, and here is what you could do with it! analyzing and predicting actions on email messages
D Di Castro, Z Karnin, L Lewin-Eytan, Y Maarek
Proceedings of the ninth acm international conference on web search and data …, 2016
472016
Learning the variance of the reward-to-go
A Tamar, D Di Castro, S Mannor
The Journal of Machine Learning Research 17 (1), 361-396, 2016
462016
Temporal difference methods for the variance of the reward to go
A Tamar, D Di Castro, S Mannor
International Conference on Machine Learning, 495-503, 2013
362013
Adaptive bases for reinforcement learning
D Di Castro, S Mannor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
292010
A convergent online single time scale actor critic algorithm
DD Castro, R Meir
The Journal of Machine Learning Research 11, 367-410, 2010
262010
Enforcing k-anonymity in web mail auditing
D Di Castro, L Lewin-Eytan, Y Maarek, R Wolff, E Zohar
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
252016
Hand gesture recognition in images and video
I Steinberg, TM London, D Di Castro
Department of Electrical Engineering, 2010
202010
Model selection in markovian processes
A Hallak, D Di-Castro, S Mannor
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
192013
Temporal difference based actor critic learning-convergence and neural implementation.
D Di Castro, D Volkinshtein, R Meir
NIPS, 385-392, 2008
182008
Structural clustering of machine-generated mail
N Avigdor-Elgrabli, M Cwalinski, D Di Castro, I Gamzu, I Grabovitch-Zuyev, ...
Proceedings of the 25th ACM International on Conference on Information and …, 2016
132016
Hebbian learning rules with memristors
D Soudry, D Di Castro, A Gal, A Kolodny, S Kvatinsky
Israel Institute of Technology: Haifa, Israel, 2013
102013
Policy evaluation with variance related risk criteria in markov decision processes
A Tamar, D Di Castro, S Mannor
arXiv preprint arXiv:1301.0104, 2013
102013
Integrating a Partial Model into Model Free Reinforcement Learning.
A Tamar, D Di Castro, R Meir, P Dayan
Journal of Machine Learning Research 13 (6), 2012
92012
Automated extractions for machine generated mail
D Di Castro, I Gamzu, I Grabovitch-Zuyev, L Lewin-Eytan, A Pundir, ...
Companion Proceedings of the The Web Conference 2018, 655-662, 2018
72018
Bandits with an edge
D Di Castro, C Gentile, S Mannor
arXiv preprint arXiv:1109.2296, 2011
72011
Adaptive bases for Q-learning
D Di Castro, S Mannor
49th IEEE Conference on Decision and Control (CDC), 4587-4593, 2010
62010
Analog multiplier using a memristive device and method for implemening Hebbian learning rules using memrisor arrays
D Di Castro, D Soudry, S Kvatinsky, A Gal, A Kolodny
US Patent 9,754,203, 2017
52017
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Articles 1–20