Revisiting Exploration-Conscious Reinforcement Learning. - Lior Shani; Yonathan Efroni; Shie Mannor (CoRR, 2018)

Multi Instance Learning For Unbalanced Data. - Mark Kozdoba; Edward Moroshko; Lior Shani; Takuya Takagi; Takashi Katoh; Shie Mannor; Koby Crammer (CoRR, 2018)

Exploration Conscious Reinforcement Learning Revisited. - Lior Shani; Yonathan Efroni; Shie Mannor (ICML, 2019)

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. - Lior Shani; Yonathan Efroni; Shie Mannor (AAAI, 2020)

Optimistic Policy Optimization with Bandit Feedback. - Lior Shani; Yonathan Efroni; Aviv Rosenberg 002; Shie Mannor (ICML, 2020)

Online Apprenticeship Learning. - Lior Shani; Tom Zahavy; Shie Mannor (AAAI, 2022)

Mirror Descent Policy Optimization. - Manan Tomar; Lior Shani; Yonathan Efroni; Mohammad Ghavamzadeh (ICLR, 2022)

Reinforcement Learning with a Terminator. - Guy Tennenholtz; Nadav Merlis; Lior Shani; Shie Mannor; Uri Shalit; Gal Chechik; Assaf Hallak; Gal Dalal (NeurIPS, 2022)

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; et al. (ACL (1), 2023)

Reinforcement Learning with History Dependent Dynamic Contexts. - Guy Tennenholtz; Nadav Merlis; Lior Shani; Martin Mladenov; Craig Boutilier (ICML, 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 (ICLR, 2024)

Multi-turn Reinforcement Learning with Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (NeurIPS, 2024)

Embedding-Aligned Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Lior Shani; Yi Liang; Craig Boutilier (NeurIPS, 2024)

Multi-turn Reinforcement Learning from Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf B. Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2024)

Offline Regularised Reinforcement Learning for Large Language Models Alignment. - Pierre Harvey Richemond; Yunhao Tang; Daniel Guo 001; Daniele Calandriello; Mohammad Gheshlaghi Azar; Rafael Rafailov; Bernardo Ávila Pires; Eugene Tarassov; Lucas Spangher; Will Ellsworth; Aliaksei Severyn; Jonathan Mallinson; et al. (CoRR, 2024)

Embedding-Aligned Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Lior Shani; Ethan Liang; Craig Boutilier (CoRR, 2024)

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward. - Yanming Wan; Jiaxing Wu; Marwa Abdulhai; Lior Shani; Natasha Jaques (CoRR, 2025)