Lior Shani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
4
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | 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 |
| 2023 | ACL | 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, Lonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor |
| 2023 | ICML | Reinforcement Learning with History Dependent Dynamic Contexts. | Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier |
| 2022 | AAAI | Online Apprenticeship Learning. | Lior Shani, Tom Zahavy, Shie Mannor |
| 2022 | ICLR | Mirror Descent Policy Optimization. | Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh |
| 2020 | AAAI | Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. | Lior Shani, Yonathan Efroni, Shie Mannor |
| 2020 | ICML | Optimistic Policy Optimization with Bandit Feedback. | Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor |
| 2019 | ICML | Exploration Conscious Reinforcement Learning Revisited. | Lior Shani, Yonathan Efroni, Shie Mannor |