Lior Shani

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Textual Entailment

Exploration Exploitation Tradeoff

Reinforcement Learning

Unconstrained Optimization

Top Venues

Publications

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. ICLR (2024)
Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR (2024)
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier
Embedding-Aligned Language Models. CoRR (2024)
Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot
Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR (2024)
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. CoRR (2023)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR (2023)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
Reinforcement Learning with History Dependent Dynamic Contexts. ICML (2023)
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
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) (2023)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. ICLR (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. NeurIPS (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. CoRR (2022)
Lior Shani, Tom Zahavy, Shie Mannor
Online Apprenticeship Learning. AAAI (2022)
Lior Shani, Tom Zahavy, Shie Mannor
Online Apprenticeship Learning. CoRR (2021)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. CoRR (2020)
Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor
Optimistic Policy Optimization with Bandit Feedback. CoRR (2020)
Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
Optimistic Policy Optimization with Bandit Feedback. ICML (2020)
Lior Shani, Yonathan Efroni, Shie Mannor
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI (2020)
Lior Shani, Yonathan Efroni, Shie Mannor
Exploration Conscious Reinforcement Learning Revisited. ICML (2019)
Lior Shani, Yonathan Efroni, Shie Mannor
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR (2019)
Lior Shani, Yonathan Efroni, Shie Mannor
Revisiting Exploration-Conscious Reinforcement Learning. CoRR (2018)
Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer
Multi Instance Learning For Unbalanced Data. CoRR (2018)