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Asaf B. Cassel
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Conference and Workshop Papers
- 2024
- [c8]Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour:
Eluder-based Regret for Stochastic Contextual MDPs. ICML 2024 - 2023
- [c7]Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour:
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. ICML 2023: 19287-19314 - 2022
- [c6]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. COLT 2022: 3589-3604 - [c5]Asaf B. Cassel, Alon Peled-Cohen, Tomer Koren:
Rate-Optimal Online Convex Optimization in Adaptive Linear Control. NeurIPS 2022 - 2021
- [c4]Asaf B. Cassel, Tomer Koren:
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. ICML 2021: 1304-1313 - 2020
- [c3]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. ICML 2020: 1328-1337 - [c2]Asaf B. Cassel, Tomer Koren:
Bandit Linear Control. NeurIPS 2020 - 2018
- [c1]Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. COLT 2018: 1295-1306
Informal and Other Publications
- 2024
- [i13]Asaf B. Cassel, Haipeng Luo, Aviv Rosenberg, Dmitry Sotnikov:
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback. CoRR abs/2405.07637 (2024) - [i12]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) - [i11]Asaf B. Cassel, Aviv Rosenberg:
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes. CoRR abs/2407.03065 (2024) - [i10]Asaf B. Cassel, Orin Levy, Yishay Mansour:
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. CoRR abs/2409.08570 (2024) - 2023
- [i9]Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour:
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. CoRR abs/2303.01464 (2023) - 2022
- [i8]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. CoRR abs/2203.01170 (2022) - [i7]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Rate-Optimal Online Convex Optimization in Adaptive Linear Control. CoRR abs/2206.01426 (2022) - [i6]Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour:
Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. CoRR abs/2211.14932 (2022) - 2021
- [i5]Asaf B. Cassel, Tomer Koren:
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. CoRR abs/2102.12608 (2021) - 2020
- [i4]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. CoRR abs/2002.08095 (2020) - [i3]Asaf B. Cassel, Tomer Koren:
Bandit Linear Control. CoRR abs/2007.00759 (2020) - [i2]Asaf B. Cassel, Shie Mannor, Guy Tennenholtz:
The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks. CoRR abs/2007.13232 (2020) - 2018
- [i1]Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. CoRR abs/1806.01380 (2018)
Coauthor Index
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