Publications
Resent Publications From DBLP
- Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces.Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz: Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces. CoRR abs/2509.22963 (2025)
- Spectral Bellman Method: Unifying Representation and Exploration in RL.Ofir Nabati, Bo Dai, Shie Mannor, Guy Tennenholtz: Spectral Bellman Method: Unifying Representation and Exploration in RL. CoRR abs/2507.13181 (2025)
- State Entropy Regularization for Robust Reinforcement Learning.Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor: State Entropy Regularization for Robust Reinforcement Learning. CoRR abs/2506.07085 (2025)
- Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead.Uri Koren, Navdeep Kumar, Uri Gadot, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor: Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead. CoRR abs/2506.07054 (2025)
- Policy Optimized Text-to-Image Pipeline Design.Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor: Policy Optimized Text-to-Image Pipeline Design. CoRR abs/2505.21478 (2025)
Thesis
- Mannor, Reinforcement Learning and Adaptation in Competitive Dynamic Environments, PhD thesis, May 2002, The Technion.
Magazine Articles
- Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-KiatSoh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh, “The Workshop Program at the Nineteenth National Conference on Artificial Intelligence”, AI Magazine 26(1): 103-108 (2005)
Books and Books Chapters
- D. de Farias, S. Mannor, D. Precup, and G. Theocharous, “Learning and Planning in Markov Processes — Advances and Challenges: Papers from the 2004 AAAI Workshop”, AAAI press, ISBN 1-57735-209-2.
- S. Mannor, “K-armed Bandits”, The Machine Learning Encyclopedia, Springer, 2010, 561-563.
- C. Caramanis, S. Mannor and H. Xu, “Robust Optimization and Machine Learning”, in Optimization for Machine Learning, EdsSuvritSra, Sebastian Nowozin and Steve Wright, MIT Press, 2011.
- M. Ghamvazadeh, P. Poupart, S. Mannor and N. Vlassis, “Bayesian Reinforcement Learning”, in Reinforcement Learning: State of the art, eds. Marco Wiering and Martijn van Otterlo, Springer, 2012.
- S. Mannor, N. Srebro, and R. Williamson, eds. Proceedings of the 25th Annual Conference on Learning Theory June 25-27, 2012, Edinburgh, Scotland. JMLR Workshop and Conference Proceedings, Volume 23.
- I. Katakis, F. Schnitzler, T. Liebig, D. Gunopulos, K. Morik, G. L. Andrienko, and S. Mannor, eds. Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning. Lille France, 2015.
- M. Ghavamzadeh, S. Mannor, J. Pineau and A. Tamar, “Bayesian Reinforcement Learning: A Survey”, Foundations and Trends in Machine Learning, 8(5-6): 359-483, 2015.
- S. Mannor, “k-Armed Bandit”. Encyclopedia of Machine Learning and Data Mining 2017: 687-690.