Sarah Keren

48 papers A* 22A 4Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets.
AAAI
Matan Levy, Itay Segev, Alexander Tuisov, Sarah Keren
2026 A* conf
Reducing Goal State Divergence with Environment Design.
AAAI
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
2026 J jnl
Textual Planning with Explicit Latent Transitions.
CoRR
Eliezer Shlomi, Ido Levy, Eilam Shapira, Michael Katz, Guy Uziel, Segev Shlomov, Nir Mashkif, Roi Reichart, Sarah Keren
2025 J jnl
Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control.
CoRR
Elinor Ginzburg, Itay Segev, Yoash Levron, Sarah Keren
2025 J jnl
Goal Recognition Design for General Behavioral Agents using Machine Learning.
Trans. Mach. Learn. Res.
Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh
2025 A* conf
Online Waypoint Recognition of Controlled Agents in Uncertain Environments.
ICRA
Jia Guo, Sushrut Surve, Zilong He, Silvia Ferrari, Sarah Keren
2024 J jnl
Better environments for better AI.
AI Mag.
Sarah Keren
2024 A* conf
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning.
AAAI
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
2024 J jnl
Data-Driven Goal Recognition Design for General Behavioral Agents.
CoRR
Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh
2024 J jnl
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems.
CoRR
Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn
2024 J jnl
Reducing Human-Robot Goal State Divergence with Environment Design.
CoRR
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
2023 A* conf
Better Environments for Better AI.
AAAI
Sarah Keren
2023 J jnl
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning.
CoRR
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
2023 A* conf
Helpful Information Sharing for Partially Informed Planning Agents.
IJCAI
Sarah Keren, David Wies, Sara Bernardini
2023 A conf
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
AAMAS
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2023 A* conf
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
NeurIPS
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2023 J jnl
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
CoRR
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2023 J jnl
Value of Assistance for Grasping.
CoRR
Mohammad Masarwy, Yuval Goshen, David Dovrat, Sarah Keren
2023 A conf
Value of Assistance for Mobile Agents.
IROS
Adi Amuzig, David Dovrat, Sarah Keren
2023 J jnl
Value of Assistance for Mobile Agents.
CoRR
Adi Amuzig, David Dovrat, Sarah Keren
2022 A* conf
Explainable Reinforcement Learning via Model Transforms.
NeurIPS
Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren
2022 J jnl
Explainable Reinforcement Learning via Model Transforms.
CoRR
Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren
2022 A* conf
Reinforcement Learning Explainability via Model Transforms (Student Abstract).
AAAI
Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren
2021 A* conf
Active Goal Recognition Design.
IJCAI
Kevin C. Gall, Wheeler Ruml, Sarah Keren
2021 — book
Introduction to Symbolic Plan and Goal Recognition
Reuth Mirsky, Sarah Keren, Christopher W. Geib
2021 J jnl
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication.
CoRR
Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren
2021 A* conf
Task-Aware Waypoint Sampling for Robotic Planning.
ICAPS
Sarah Keren, Gerard Canal, Michael Cashmore
2020 A conf
Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design.
ECAI
Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein
2020 A conf
Designing Environments Conducive to Interpretable Robot Behavior.
IROS
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
2020 J jnl
Designing Environments Conducive to Interpretable Robot Behavior.
CoRR
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
2020 A* conf
Goal Recognition Design - Survey.
IJCAI
Sarah Keren, Avigdor Gal, Erez Karpas
2020 A* conf
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents.
AAAI
Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz
2020 A* conf
Reasoning About Plan Robustness Versus Plan Cost for Partially Informed Agents.
KR
Sarah Keren, Sara Bernardini, Kofi Kwapong, David C. Parkes
2020 J jnl
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.
AI Mag.
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
2019 A* conf
Efficient Heuristic Search for Optimal Environment Redesign.
ICAPS
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2019 J jnl
Goal Recognition Design in Deterministic Environments.
J. Artif. Intell. Res.
Sarah Keren, Avigdor Gal, Erez Karpas
2019 J jnl
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag.
Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
2018 J jnl
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.
AI Mag.
Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, K. Brent Venable, Neal Wagner, Anna Zamansky
2018 A* conf
Strong Stubborn Sets for Efficient Goal Recognition Design.
ICAPS
Sarah Keren, Avigdor Gal, Erez Karpas
2017 A* conf
Equi-Reward Utility Maximizing Design in Stochastic Environments.
IJCAI
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2017 A* conf
Redesigning Stochastic Environments for Maximized Utility.
AAAI
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein
2017 — conf
Redesigning Stochastic Environments for Maximized Utility.
AAAI Workshops
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2017 J jnl
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag.
Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
2016 A* conf
Goal Recognition Design with Non-Observable Actions.
AAAI
Sarah Keren, Avigdor Gal, Erez Karpas
2016 A* conf
Privacy Preserving Plans in Partially Observable Environments.
IJCAI
Sarah Keren, Avigdor Gal, Erez Karpas
2015 A* conf
Goal Recognition Design for Non-Optimal Agents.
AAAI
Sarah Keren, Avigdor Gal, Erez Karpas
2014 A* conf
Goal Recognition Design.
ICAPS
Sarah Keren, Avigdor Gal, Erez Karpas
2013 — conf
Grand challenge: the TechniBall system.
DEBS
Avigdor Gal, Sarah Keren, Mor Sondak, Matthias Weidlich, Hendrik Blom, Christian Bockermann