Lior Shani - RankMe

27 papers A* 10Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Reasoning with Supervised Thinking States. CoRR Ido Amos, Avi Caciularu, Mor Geva, Amir Globerson, Jonathan Herzig, Lior Shani, Idan Szpektor
2025	J	`jnl`	Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward. CoRR Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques
2025	J	`jnl`	Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces. CoRR Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz
2024	A*	`conf`	Demystifying Embedding Spaces using Large Language Models. ICLR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2024	A*	`conf`	Embedding-Aligned Language Models. NeurIPS Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Yi Liang, Craig Boutilier
2024	J	`jnl`	Embedding-Aligned Language Models. CoRR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier
2024	J	`jnl`	Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR Lior Shani, Aviv Rosenberg, Asaf B. Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
2024	A*	`conf`	Multi-turn Reinforcement Learning with Preference Human Feedback. NeurIPS 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
2024	J	`jnl`	Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR 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
2023	J	`jnl`	Demystifying Embedding Spaces using Large Language Models. CoRR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2023	—	`conf`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) 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
2023	J	`jnl`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR 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
2023	A*	`conf`	Reinforcement Learning with History Dependent Dynamic Contexts. ICML Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
2023	J	`jnl`	Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
2022	A*	`conf`	Mirror Descent Policy Optimization. ICLR Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2022	A*	`conf`	Online Apprenticeship Learning. AAAI Lior Shani, Tom Zahavy, Shie Mannor
2022	A*	`conf`	Reinforcement Learning with a Terminator. NeurIPS Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022	J	`jnl`	Reinforcement Learning with a Terminator. CoRR Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2021	J	`jnl`	Online Apprenticeship Learning. CoRR Lior Shani, Tom Zahavy, Shie Mannor
2020	A*	`conf`	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI Lior Shani, Yonathan Efroni, Shie Mannor
2020	J	`jnl`	Mirror Descent Policy Optimization. CoRR Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2020	A*	`conf`	Optimistic Policy Optimization with Bandit Feedback. ICML Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
2020	J	`jnl`	Optimistic Policy Optimization with Bandit Feedback. CoRR Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor
2019	J	`jnl`	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR Lior Shani, Yonathan Efroni, Shie Mannor
2019	A*	`conf`	Exploration Conscious Reinforcement Learning Revisited. ICML Lior Shani, Yonathan Efroni, Shie Mannor
2018	J	`jnl`	Multi Instance Learning For Unbalanced Data. CoRR Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer
2018	J	`jnl`	Revisiting Exploration-Conscious Reinforcement Learning. CoRR Lior Shani, Yonathan Efroni, Shie Mannor