Completed Projects

Inverse Reinforcement Learning in Contextual MDPs

Stav Belogolovsky and Philip Korsunsky

[Project Report]

Accepted to RLDM 2019

Distributed Q-learning with Gittins Prioritization

Naama Pearl and Yonathan Osin

Accepted to RLDM 2019

Learning How Not to Act in Text-based Games

Matan Haroush

Accepted to NeurIPS 2018.

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Chen Tessler, Shahar Givony

Accepted to AAAI 2017.

Awarded 1st place in the Kasher faculty project competition.

Multi-level DQN

Itay Golan, Saar Barkai

Awarded CRML laboratory project excellence prize.

Transfer Learning in DQN using weighted layers copying

Eitan Ziv, Gal Shachaf

Playing RoboCup with Deep Reinforcement Learning

Orr Krupnik, Yona Cohen

Robustness of Stochastic Deep Networks

Alexander Sivak

Accepted to ICLR 2018 workshop.

Deep Reinforcement Learning from Experience Replay

Alon Magrafta, Tal Zadik

Using Options to Improve Learning in DQN

Dorin Drachsler, Kfir Goldberg

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