Department of Electrical Engineering
Control Robotics and Machine Learning Lab
Technion - Israel Institute of Technology
המעבדה לבקרה רובוטיקה ולמידה חישובית
Machine Learning
“Field of study that gives computers the ability to learn without being explicitly programmed”.
Arthur Samuel 1959.
Tom Zahavy and Daniel J. Mankowitz,
the co-founders of this lab, finished their Ph.D.
They now work as research scientists at Google DeepMind.
Chen Tessler manages the lab under a new domain
Research Oriented Lab
Our projects are research oriented, as such they leave much room for ideas and innovation from the students. Hard work and enthusiasm usually pay off, as can be seen from the list of projects below which have been accepted as a conference/workshop paper.
Congratulations to Matan Haroush for the acceptance of his work "Learning How Not to Act in Text-based Games" as a full paper to Thirty-second Conference on Neural Information Processing Systems (NIPS 2018) in Montréal.
Congratulations to Alex Sivak for the acceptance of a paper "Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms" to a workshop at ICLR18.
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Hard Work Pays Off
Research oriented projects aren't easy, but their potential is large.
Some of our graduates have won prizes and many of them have continued to pursue a higher degree (M.Sc and P.hD)
Congratulations to Alexander Sivak and Saar Barkai, both graduates of our lab, for starting an M.Sc in machine learning.
Congratulations to Chen Tessler, Itay Golan, and Or Krupnik, all graduates of our lab, for starting an M.Sc in machine learning.
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About Us
Daniel J.
Mankowitz
Research Scientist at Google DeepMind
P.hD Graduate in Reinforcement Learning
Tom
Zahavy
P.hD Candidate in Reinforcement Learning
Machine Learning Research Intern at Google
Chen
Tessler
P.hD Candidate in Reinforcement Learning