Tom Zahavy

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2014–2025

Best venue rank

Where they publish

Papers

21 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICML	Mastering Board Games by External and Internal Planning with Language Models.	John Schultz, Jakub Admek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2023	GECCO	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization.	Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	GECCO	Discovering Evolution Strategies via Meta-Black-Box Optimization.	Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	ICLR	Discovering Evolution Strategies via Meta-Black-Box Optimization.	Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	ICLR	Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality.	Tom Zahavy, Yannick Schroecker, Feryal M. P. Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh
2023	ICML	ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs.	Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
2022	AAAI	Online Apprenticeship Learning.	Lior Shani, Tom Zahavy, Shie Mannor
2022	ICLR	Bootstrapped Meta-Learning.	Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
2021	ICLR	Balancing Constraints and Rewards with Meta-Gradient D4PG.	Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann
2021	ICLR	Discovering a set of policies for the worst case reward.	Tom Zahavy, Andr Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh
2021	ICML	Emphatic Algorithms for Deep Reinforcement Learning.	Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	ICML	Online Limited Memory Neural-Linear Bandits with Likelihood Matching.	Ofir Nabati, Tom Zahavy, Shie Mannor
2020	AAAI	Apprenticeship Learning via Frank-Wolfe.	Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2020	ALT	Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies.	Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
2020	UAI	Unknown mixing times in apprenticeship and reinforcement learning.	Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2018	AAAI	Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce.	Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor
2018	ICLR	Learning How Not to Act in Text-based Games.	Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2018	ICLR	Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.	Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
2017	AAAI	A Deep Hierarchical Approach to Lifelong Learning in Minecraft.	Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2016	ICML	Graying the black box: Understanding DQNs.	Tom Zahavy, Nir Ben-Zrihem, Shie Mannor
2014	ICASSP	Sub-Nyquist sampling of OFDM signals for cognitive radios.	Tom Zahavy, Oran Shayer, Deborah Cohen, Alex Tolmachev, Yonina C. Eldar