Sarah Keren

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Artificial Intelligence

Reinforcement Learning

Partially Observable Environments

Top Venues

Publications

Kelsey Sikes, Sarah Keren, Sarath Sreedharan
Reducing Human-Robot Goal State Divergence with Environment Design. CoRR (2024)
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. AAAI (2024)
Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems. CoRR (2024)
Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh
Data-Driven Goal Recognition Design for General Behavioral Agents. CoRR (2024)
Mohammad Masarwy, Yuval Goshen, David Dovrat, Sarah Keren
Value of Assistance for Grasping. CoRR (2023)
Adi Amuzig, David Dovrat, Sarah Keren
Value of Assistance for Mobile Agents. IROS (2023)
Sarah Keren, David Wies, Sara Bernardini
Helpful Information Sharing for Partially Informed Planning Agents. IJCAI (2023)
Adi Amuzig, David Dovrat, Sarah Keren
Value of Assistance for Mobile Agents. CoRR (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. NeurIPS (2023)
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. CoRR (2023)
Sarah Keren
Better Environments for Better AI. AAAI (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. AAMAS (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. CoRR (2023)
Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren
Explainable Reinforcement Learning via Model Transforms. NeurIPS (2022)
Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren
Reinforcement Learning Explainability via Model Transforms (Student Abstract). AAAI (2022)
Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren
Explainable Reinforcement Learning via Model Transforms. CoRR (2022)
Sarah Keren, Gerard Canal, Michael Cashmore
Task-Aware Waypoint Sampling for Robotic Planning. ICAPS (2021)
Ofir Abu, Matthias Gerstgrasser, Jeffrey Rosenschein, Sarah Keren
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication. CoRR (2021)
Kevin C. Gall, Wheeler Ruml, Sarah Keren
Active Goal Recognition Design. IJCAI (2021)
Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein
Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. ECAI (2020)
Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents. AAAI (2020)
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 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
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Sarah Keren, Sara Bernardini, Kofi Kwapong, David C. Parkes
Reasoning About Plan Robustness Versus Plan Cost for Partially Informed Agents. KR (2020)
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
Designing Environments Conducive to Interpretable Robot Behavior. CoRR (2020)
Sarah Keren, Avigdor Gal, Erez Karpas
Goal Recognition Design - Survey. IJCAI (2020)
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
Designing Environments Conducive to Interpretable Robot Behavior. IROS (2020)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Efficient Heuristic Search for Optimal Environment Redesign. ICAPS (2019)
Sarah Keren, Avigdor Gal, Erez Karpas
Goal Recognition Design in Deterministic Environments. J. Artif. Intell. Res. 65 (2019)
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
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40 (3) (2019)
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, Kristen Brent Venable, Neal Wagner, Anna Zamansky
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39 (4) (2018)
Sarah Keren, Avigdor Gal, Erez Karpas
Strong Stubborn Sets for Efficient Goal Recognition Design. ICAPS (2018)
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein
Redesigning Stochastic Environments for Maximized Utility. AAAI (2017)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI (2017)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops (2017)
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
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Sarah Keren, Avigdor Gal, Erez Karpas
Goal Recognition Design with Non-Observable Actions. AAAI (2016)
Sarah Keren, Avigdor Gal, Erez Karpas
Privacy Preserving Plans in Partially Observable Environments. IJCAI (2016)
Sarah Keren, Avigdor Gal, Erez Karpas
Goal Recognition Design for Non-Optimal Agents. AAAI (2015)
Sarah Keren, Avigdor Gal, Erez Karpas
Goal Recognition Design. ICAPS (2014)
Avigdor Gal, Sarah Keren, Mor Sondak, Matthias Weidlich, Hendrik Blom, Christian Bockermann
Grand challenge: the TechniBall system. DEBS (2013)