Derman, Esther

11 publications

AISTATS 2025 Q-Learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis Jia Lin Hau, Erick Delage, Esther Derman, Mohammad Ghavamzadeh, Marek Petrik

NeurIPS 2025 State Entropy Regularization for Robust Reinforcement Learning Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor

AAAI 2024 Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor

ICLR 2024 Tree Search-Based Policy Optimization Under Stochastic Execution Delay David Valensi, Esther Derman, Shie Mannor, Gal Dalal

NeurIPS 2023 Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor

NeurIPSW 2023 Robustness and Regularization in Reinforcement Learning Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor

NeurIPSW 2023 Targeted Uncertainty Reduction in Robust MDPs Uri Gadot, Kaixin Wang, Esther Derman, Navdeep Kumar, Kfir Levy, Shie Mannor

ICLR 2021 Acting in Delayed Environments with Non-Stationary Markov Policies Esther Derman, Gal Dalal, Shie Mannor

NeurIPS 2021 Twice Regularized MDPs and the Equivalence Between Robustness and Regularization Esther Derman, Matthieu Geist, Shie Mannor

UAI 2019 A Bayesian Approach to Robust Reinforcement Learning Esther Derman, Daniel Mankowitz, Timothy Mann, Shie Mannor

UAI 2018 Soft-Robust Actor-Critic Policy-Gradient Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor