Lior Shani

According to our database, Lior Shani authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Demystifying Embedding Spaces using Large Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

CoRR, 2023

Reinforcement Learning with History Dependent Dynamic Contexts.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier

Proceedings of the International Conference on Machine Learning, 2023

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.

Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Reinforcement Learning with a Terminator.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mirror Descent Policy Optimization.

Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Apprenticeship Learning.

Lior Shani, Tom Zahavy, Shie Mannor

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Optimistic Policy Optimization with Bandit Feedback.

Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploration Conscious Reinforcement Learning Revisited.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Multi Instance Learning For Unbalanced Data.

Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer

CoRR, 2018

Revisiting Exploration-Conscious Reinforcement Learning.

Lior Shani, Yonathan Efroni, Shie Mannor

CoRR, 2018