Tom Zahavy

发表

Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies pdf

Haim Kaplan, Avinatan Hassidim, Yishay Mansour, 2018, ArXiv.

Contextual Inverse Reinforcement Learning

Shie Mannor, Tom Zahavy, Chen Tessler, 2019 .

Haim Kaplan, Yishay Mansour, Alon Cohen, 2019, AAAI.

Sub-Nyquist sampling of OFDM signals for cognitive radios

Yonina C. Eldar, Deborah Cohen, Tom Zahavy, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inverse Reinforcement Learning in Contextual MDPs pdf

Shie Mannor, Tom Zahavy, Chen Tessler, 2019, ArXiv.

Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies

Haim Kaplan, Avinatan Hassidim, Yishay Mansour, 2019, ALT.

Train on Validation: Squeezing the Data Lemon pdf

Shie Mannor, Tom Zahavy, Guy Tennenholtz, 2018, ArXiv.

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

Shie Mannor, Alessandro Magnani, Tom Zahavy, 2016, AAAI 2016.

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

Shie Mannor, Tom Zahavy, Chen Tessler, 2019, ArXiv.

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

Tom Zahavy, Mordechai Segev, Alex Dikopoltsev, 2019, Optics express.

Ensemble Robustness of Deep Learning Algorithms pdf

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ArXiv.

Deep Learning Reconstruction of Ultra-Short Pulses pdf

Shie Mannor, Tom Zahavy, Mordechai Segev, 2018, ArXiv.

Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce

Shie Mannor, Alessandro Magnani, Tom Zahavy, 2018, AAAI.

Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching pdf

Shie Mannor, Tom Zahavy, Shie Mannor, 2019, ArXiv.

Graying the black box: Understanding DQNs pdf

Shie Mannor, Tom Zahavy, Nir Ben-Zrihem, 2016, ICML.

Visualizing Dynamics: from t-SNE to SEMI-MDPs pdf

Shie Mannor, Tom Zahavy, Nir Ben-Zrihem, 2016, ArXiv.

Learning How Not to Act in Text-based Games

Shie Mannor, Tom Zahavy, Daniel J. Mankowitz, 2018, ICLR.

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ICLR.

Deep Learning Reconstruction of Ultrashort Pulses

Shie Mannor, Tom Zahavy, Mordechai Segev, 2018, 2018 Conference on Lasers and Electro-Optics (CLEO).

Average reward reinforcement learning with unknown mixing times pdf

Haim Kaplan, Yishay Mansour, Alon Cohen, 2019, ArXiv.

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Shie Mannor, Tom Zahavy, Chen Tessler, 2016, AAAI.

Deep Reinforcement Learning Discovers Internal Models pdf

Shie Mannor, Tom Zahavy, Nir Baram, 2016, ArXiv.

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

Shie Mannor, Tom Zahavy, Daniel J. Mankowitz, 2018, NeurIPS.

Shallow Updates for Deep Reinforcement Learning

Shie Mannor, Nir Levine, Aviv Tamar, 2017, NIPS.

Reward is enough for convex MDPs pdf

Brendan O'Donoghue, Guillaume Desjardins, Tom Zahavy, 2021, ArXiv.

Emphatic Algorithms for Deep Reinforcement Learning

Matteo Hessel, Charles Blundell, Adam White, 2021, ICML.

Discovery of Options via Meta-Learned Subgoals pdf

Junhyuk Oh, David Silver, Matteo Hessel, 2021, NeurIPS.

Bootstrapped Meta-Learning pdf

David Silver, Tom Zahavy, Yannick Schroecker, 2021, ArXiv.

Discovering Diverse Nearly Optimal Policies withSuccessor Features pdf

Brendan O'Donoghue, Tom Zahavy, Volodymyr Mnih, 2021, ArXiv.

Workshop on Machine Learning for Autonomous Vehicles 2017

Silvio Savarese, Balaraman Ravindran, Raquel Urtasun, .