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Online Apprenticeship Learning

Feb 13, 2021
Lior Shani, Tom Zahavy, Shie Mannor


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Discovery of Options via Meta-Learned Subgoals

Feb 12, 2021
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh


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Discovering a set of policies for the worst case reward

Feb 08, 2021
Tom Zahavy, Andre Barreto, Daniel J Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Baveja Singh


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Online Limited Memory Neural-Linear Bandits with Likelihood Matching

Feb 07, 2021
Ofir Nabati, Tom Zahavy, Shie Mannor

* arXiv admin note: text overlap with arXiv:1901.08612 

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Balancing Constraints and Rewards with Meta-Gradient D4PG

Oct 13, 2020
Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy Mann


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Learning to Ask Medical Questions using Reinforcement Learning

Mar 31, 2020
Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan Krumholz


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Self-Tuning Deep Reinforcement Learning

Mar 02, 2020
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh


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Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot

Nov 23, 2019
Ron Ziv, Alex Dikopoltsev, Tom Zahavy, Ittai Rubinstein, Pavel Sidorenko, Oren Cohen, Mordechai Segev


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Apprenticeship Learning via Frank-Wolfe

Nov 20, 2019
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour


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Inverse Reinforcement Learning in Contextual MDPs

May 29, 2019
Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor


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Average reward reinforcement learning with unknown mixing times

May 23, 2019
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour


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Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces

May 23, 2019
Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor


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Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies

Feb 26, 2019
Tom Zahavy, Avinatan Hasidim, Haim Kaplan, Yishay Mansour

* arXiv admin note: substantial text overlap with arXiv:1803.04674 

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Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching

Jan 24, 2019
Tom Zahavy, Shie Mannor


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Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning

Sep 06, 2018
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor


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Deep Learning Reconstruction of Ultra-Short Pulses

Mar 15, 2018
Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev


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Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies

Mar 13, 2018
Tom Zahavy, Avinatan Hasidim, Haim Kaplan, Yishay Mansour


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Train on Validation: Squeezing the Data Lemon

Feb 16, 2018
Guy Tennenholtz, Tom Zahavy, Shie Mannor


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Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms

Nov 05, 2017
Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor

* 16 pages, 2 figures 

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Shallow Updates for Deep Reinforcement Learning

Nov 02, 2017
Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor


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Graying the black box: Understanding DQNs

Apr 24, 2017
Tom Zahavy, Nir Ben Zrihem, Shie Mannor


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A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Nov 30, 2016
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor


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Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce

Nov 29, 2016
Tom Zahavy, Alessandro Magnani, Abhinandan Krishnan, Shie Mannor


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Visualizing Dynamics: from t-SNE to SEMI-MDPs

Jun 22, 2016
Nir Ben Zrihem, Tom Zahavy, Shie Mannor

* Presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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Deep Reinforcement Learning Discovers Internal Models

Jun 16, 2016
Nir Baram, Tom Zahavy, Shie Mannor


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