Shani, Lior

11 publications

NeurIPS 2025 Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques

ICLR 2024 Demystifying Embedding Spaces Using Large Language Models Guy Tennenholtz, Yinlam Chow, ChihWei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

NeurIPS 2024 Embedding-Aligned Language Models Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier

NeurIPS 2024 Multi-Turn Reinforcement Learning with Preference Human Feedback 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

ICML 2023 Reinforcement Learning with History Dependent Dynamic Contexts Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier

ICLR 2022 Mirror Descent Policy Optimization Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh

AAAI 2022 Online Apprenticeship Learning Lior Shani, Tom Zahavy, Shie Mannor

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

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

ICML 2020 Optimistic Policy Optimization with Bandit Feedback Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

ICML 2019 Exploration Conscious Reinforcement Learning Revisited Lior Shani, Yonathan Efroni, Shie Mannor