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

A Bayesian Approach to Robust Reinforcement Learning. - Esther Derman; Daniel J. Mankowitz; Timothy A. Mann; Shie Mannor (UAI, 2019)

Distributional Robustness and Regularization in Reinforcement Learning. - Esther Derman; Shie Mannor (CoRR, 2020)

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

Twice regularized MDPs and the equivalence between robustness and regularization. - Esther Derman; Matthieu Geist; Shie Mannor (NeurIPS, 2021)

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

Policy Gradient for s-Rectangular Robust Markov Decision Processes. - Navdeep Kumar; Esther Derman; Matthieu Geist; Kfir Levy; Shie Mannor (CoRR, 2023)

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. - Esther Derman; Yevgeniy Men; Matthieu Geist; Shie Mannor (CoRR, 2023)

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

Tree Search-Based Policy Optimization under Stochastic Execution Delay. - David Valensi; Esther Derman; Shie Mannor; Gal Dalal (ICLR, 2024)

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

State Entropy Regularization for Robust Reinforcement Learning. - Yonatan Ashlag; Uri Koren; Mirco Mutti; Esther Derman; Pierre-Luc Bacon; Shie Mannor (CoRR, 2025)

Robust Reinforcement Learning for Discrete Compositional Generation via General Soft Operators. - Marco Jiralerspong; Esther Derman; Danilo Vucetic; Nikolay Malkin; Bilun Sun; Tianyu Zhang; Pierre-Luc Bacon; Gauthier Gidel (CoRR, 2025)