Sarah Keren

According to our database, Sarah Keren authored at least 34 papers between 2013 and 2024.

Collaborative distances:

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

2024

Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems.

Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn

CoRR, 2024

Reducing Human-Robot Goal State Divergence with Environment Design.

Kelsey Sikes, Sarah Keren, Sarath Sreedharan

CoRR, 2024

Data-Driven Goal Recognition Design for General Behavioral Agents.

Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh

CoRR, 2024

Better environments for better AI.

Sarah Keren

AI Mag., 2024

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning.

Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren

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

2023

Value of Assistance for Grasping.

Mohammad Masarwy, Yuval Goshen, David Dovrat, Sarah Keren

CoRR, 2023

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.

Matthias Gerstgrasser, Tom Danino, Sarah Keren

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

Value of Assistance for Mobile Agents.

Adi Amuzig, David Dovrat, Sarah Keren

IROS, 2023

Helpful Information Sharing for Partially Informed Planning Agents.

Sarah Keren, David Wies, Sara Bernardini

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Explainable Reinforcement Learning via Model Transforms.

Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning Explainability via Model Transforms (Student Abstract).

Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Introduction to Symbolic Plan and Goal Recognition

Reuth Mirsky, Sarah Keren, Christopher W. Geib

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01589-2, 2021

Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication.

Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren

CoRR, 2021

Active Goal Recognition Design.

Kevin C. Gall, Wheeler Ruml, Sarah Keren

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Task-Aware Waypoint Sampling for Robotic Planning.

Sarah Keren, Gerard Canal, Michael Cashmore

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

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

AI Mag., 2020

Reasoning About Plan Robustness Versus Plan Cost for Partially Informed Agents.

Sarah Keren, Sara Bernardini, Kofi Kwapong, David C. Parkes

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Designing Environments Conducive to Interpretable Robot Behavior.

Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Goal Recognition Design - Survey.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design.

Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents.

Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Goal Recognition Design in Deterministic Environments.

Sarah Keren, Avigdor Gal, Erez Karpas

J. Artif. Intell. Res., 2019

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.

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

AI Mag., 2019

Efficient Heuristic Search for Optimal Environment Redesign.

Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.

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

AI Mag., 2018

Strong Stubborn Sets for Efficient Goal Recognition Design.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.

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

AI Mag., 2017

Equi-Reward Utility Maximizing Design in Stochastic Environments.

Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Redesigning Stochastic Environments for Maximized Utility.

Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Privacy Preserving Plans in Partially Observable Environments.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Goal Recognition Design with Non-Observable Actions.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Goal Recognition Design for Non-Optimal Agents.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Goal Recognition Design.

Sarah Keren, Avigdor Gal, Erez Karpas

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013

Grand challenge: the TechniBall system.

Avigdor Gal, Sarah Keren, Mor Sondak, Matthias Weidlich, Hendrik Blom, Christian Bockermann

Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013