Publications

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.

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.

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.

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.

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.