Esther Derman

According to our database, Esther Derman authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity.

Aneri Muni, Vincent Taboga, Esther Derman, Pierre-Luc Bacon, Erick Delage

CoRR, February, 2026

2025

Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism.

Tianwei Ni, Esther Derman, Vineet Jain, Vincent Taboga, Siamak Ravanbakhsh, Pierre-Luc Bacon

CoRR, December, 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, June, 2025

State Entropy Regularization for Robust Reinforcement Learning.

Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor

CoRR, June, 2025

Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis.

Jia Lin Hau, Erick Delage, Esther Derman, Mohammad Ghavamzadeh, Marek Petrik

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Tree Search-Based Policy Optimization under Stochastic Execution Delay.

David Valensi, Esther Derman, Shie Mannor, Gal Dalal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization.

Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization.

Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor

CoRR, 2023

Policy Gradient for s-Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor

CoRR, 2023

Policy Gradient for Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Twice regularized MDPs and the equivalence between robustness and regularization.

Esther Derman, Matthieu Geist, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Acting in Delayed Environments with Non-Stationary Markov Policies.

Esther Derman, Gal Dalal, Shie Mannor

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Distributional Robustness and Regularization in Reinforcement Learning.

Esther Derman, Shie Mannor

CoRR, 2020

2019

A Bayesian Approach to Robust Reinforcement Learning.

Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Soft-Robust Actor-Critic Policy-Gradient.

Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018