Technion
Technion
  • Home Page
  • Experiments
  • Member
    • Academic staff
    • Lab staff
    • Supervisor
  • Related Courses
  • Projects
    • General Procedures
    • Projects Proposals
      • פרויקטים בבקרה ואלגוריתם
      • רובוטיקה ומערכות
      • למידה חישובית
    • Projects Archive
      • Projects Archive Table
  • Publications
  • Press
  • Gallery
  • video gallery

Publications

  • 2023
    Itay Evron, Ophir Onn, Tamar Weiss Orzech, Hai Azeroual, Daniel Soudry and , The Role of Codeword-to-Class Assignments in Error Correcting Codes: An Empirical Study, AISTATS 2023.
  • 2022
    Eran Shachar, Amitay Lev and Oren Rosen, MED: Muse-based Eye-blink Detection Algorithm Using a Single EEG Channel, The 2022 IEEE Signal Processing in Medicine and Biology Symposium.
  • 2021
    Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler & Tom Zahavy , Inverse reinforcement learning in contextual MDPs, Springer.
  • 2020
    Ariel Larey ; Eliel Aknin ; Itzik Klein, Multiple Inertial Measurement Units–An Empirical Study Publisher: IEEE, IEEE.
  • Matan Gottlib, Oren Rosen, Boaz Weller, Ayed Mahagney, Nicola Omar, Khuri Srugo, Jacob Genizi, Stroke identification using a portable EEG device – A pilot study, Neurophysiologie Clinique - Volume 50, Issue 1, February 2020, Pages 21-25.
  • Daniel Teitelman, Itay Naeh, Shie Mannor, Stealing Black-Box Functionality Using The Deep Neural Tree Architecture, CoRR abs/2002.09864 (2020) .
  • 2019
    Eliel Aknin , Ariel Larey , Itzik Klein , Experimental Study of a Multi Inertial Measurement Unit, SCIforum-6th International Electronic Conference on Sensors and Applications session Physical Sensors.
  • Hadar Zemer, Reut Sarel and Itzik Klein , Feasibility Study of a Partial Gyro-Free Inertial Navigation System Mounted on a Ground Robot*, MED 2019.
    Feasibility Study of a Partial Gyro-Free Inertial Navigation System Mounted on a Ground Robot
  • Stav Belogolovsky and Philip Korsunsky, Inverse Reinforcement Learning in Contextual MDPs, RLDM 2019.
  • Yonathan Osin and Naama Pearl, Distributed Q-learning with Gittins Prioritization, RLDM 2019.
  • 2018
    Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor, Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning, NIPS.
  • Yoav Levi, Ayal Taitler, Isaac Keslassy , Unspread the Jam: Scheduling Traffic Lights to Reduce Congestion, 2018 ICSEE International Conference on the Science of Electrical Engineering.
    Unspread the Jam: Scheduling Traffic Lights to Reduce Congestion
  • A. Fahima, R. Ofir, Y. Levron, and J. Belikov, Minimal energy storage required for stability of low inertia distributed sources, IEEE International Energy Conference (ENERGYCON).
  • Tom Zahavy, Alexander Sivak, Bingyi Kang , Jiashi Feng , Huan Xu& Shie Mannor, Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms, ICLR 2018 Workshop.
  • Matan Haroush, Tom Zahavy, Daniel J. Mankowitz and Shie Mannor, Learning How Not to Act in Text-based Games, ICLR 2018 Workshop.
  • 2016
    Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J Mankowitz, Shie Mannor, A Deep Hierarchical Approach to Lifelong Learning in Minecraft, Conference on Artificial Intelligence (AAAI), 2017.
  • Accessibility Statement
CRML - Electrical Engineering | Technion | Powered byFatfish