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2020 – today
- 2024
[c9]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- [i13]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:
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR abs/2405.14655 (2024) - [i12]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 abs/2405.19107 (2024) - [i11]Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier:
Embedding-Aligned Language Models. CoRR abs/2406.00024 (2024) - 2023
- [c8]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: 6252-6272 - [c7]Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier:
Reinforcement Learning with History Dependent Dynamic Contexts. ICML 2023: 34011-34053 - [i10]Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier:
Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR abs/2302.02061 (2023) - [i9]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 abs/2306.00186 (2023) - [i8]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 abs/2310.04475 (2023) - 2022
- [c6]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. AAAI 2022: 8240-8248 - [c5]Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh:
Mirror Descent Policy Optimization. ICLR 2022 - [c4]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. NeurIPS 2022 - [i7]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. CoRR abs/2205.15376 (2022) - 2021
- [i6]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. CoRR abs/2102.06924 (2021) - 2020
- [c3]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI 2020: 5668-5675 - [c2]Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. ICML 2020: 8604-8613 - [i5]Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. CoRR abs/2002.08243 (2020) - [i4]Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh:
Mirror Descent Policy Optimization. CoRR abs/2005.09814 (2020)
2010 – 2019
- 2019
- [c1]Lior Shani, Yonathan Efroni, Shie Mannor:
Exploration Conscious Reinforcement Learning Revisited. ICML 2019: 5680-5689 - [i3]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR abs/1909.02769 (2019) - 2018
- [i2]Lior Shani, Yonathan Efroni, Shie Mannor:
Revisiting Exploration-Conscious Reinforcement Learning. CoRR abs/1812.05551 (2018) - [i1]Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer:
Multi Instance Learning For Unbalanced Data. CoRR abs/1812.07010 (2018)
Coauthor Index
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