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ORCIDSarah Keren
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2020 – today
- 2024
[j6]Sarah Keren
:
Better environments for better AI. AI Mag. 45(3): 369-375 (2024)- [c25]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: 10953-10961 - [i10]Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh:
Data-Driven Goal Recognition Design for General Behavioral Agents. CoRR abs/2404.03054 (2024) - [i9]Kelsey Sikes, Sarah Keren, Sarath Sreedharan:
Reducing Human-Robot Goal State Divergence with Environment Design. CoRR abs/2404.15184 (2024) - [i8]Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn:
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems. CoRR abs/2404.15583 (2024) - 2023
- [c24]Sarah Keren:
Better Environments for Better AI. AAAI 2023: 15442 - [c23]Matthias Gerstgrasser, Tom Danino, Sarah Keren:
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. AAMAS 2023: 2433-2435 - [c22]Sarah Keren, David Wies, Sara Bernardini:
Helpful Information Sharing for Partially Informed Planning Agents. IJCAI 2023: 5377-5385 - [c21]Adi Amuzig, David Dovrat, Sarah Keren:
Value of Assistance for Mobile Agents. IROS 2023: 1594-1600 - [c20]Matthias Gerstgrasser, Tom Danino, Sarah Keren:
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i7]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 abs/2307.05209 (2023) - [i6]Adi Amuzig, David Dovrat, Sarah Keren:
Value of Assistance for Mobile Agents. CoRR abs/2308.11961 (2023) - [i5]Mohammad Masarwy, Yuval Goshen, David Dovrat, Sarah Keren:
Value of Assistance for Grasping. CoRR abs/2310.14402 (2023) - [i4]Matthias Gerstgrasser, Tom Danino, Sarah Keren:
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. CoRR abs/2311.00865 (2023) - 2022
- [c19]Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Reinforcement Learning Explainability via Model Transforms (Student Abstract). AAAI 2022: 12943-12944 - [c18]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 - [i3]Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Explainable Reinforcement Learning via Model Transforms. CoRR abs/2209.12006 (2022) - 2021
- [b1]Reuth Mirsky, Sarah Keren, Christopher W. Geib:
Introduction to Symbolic Plan and Goal Recognition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00461-2, pp. 1-190 - [c17]Sarah Keren, Gerard Canal, Michael Cashmore:
Task-Aware Waypoint Sampling for Robotic Planning. ICAPS 2021: 643-651 - [c16]Kevin C. Gall, Wheeler Ruml, Sarah Keren:
Active Goal Recognition Design. IJCAI 2021: 4062-4068 - [i2]Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren:
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication. CoRR abs/2111.06614 (2021) - 2020
- [j5]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:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [c15]Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz:
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents. AAAI 2020: 9908-9915 - [c14]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: 2394-2401 - [c13]Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design - Survey. IJCAI 2020: 4847-4853 - [c12]Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
Designing Environments Conducive to Interpretable Robot Behavior. IROS 2020: 10982-10989 - [c11]Sarah Keren, Sara Bernardini, Kofi Kwapong, David C. Parkes:
Reasoning About Plan Robustness Versus Plan Cost for Partially Informed Agents. KR 2020: 550-559 - [i1]Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
Designing Environments Conducive to Interpretable Robot Behavior. CoRR abs/2007.00820 (2020)
2010 – 2019
- 2019
- [j4]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): 67-78 (2019) - [j3]Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design in Deterministic Environments. J. Artif. Intell. Res. 65: 209-269 (2019) - [c10]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Efficient Heuristic Search for Optimal Environment Redesign. ICAPS 2019: 246-254 - 2018
- [j2]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): 45-56 (2018) - [c9]Sarah Keren, Avigdor Gal, Erez Karpas:
Strong Stubborn Sets for Efficient Goal Recognition Design. ICAPS 2018: 141-149 - 2017
- [j1]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): 72-82 (2017) - [c8]Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI 2017: 4947-4948 - [c7]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops 2017 - [c6]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI 2017: 4353-4360 - 2016
- [c5]Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design with Non-Observable Actions. AAAI 2016: 3152-3158 - [c4]Sarah Keren, Avigdor Gal, Erez Karpas:
Privacy Preserving Plans in Partially Observable Environments. IJCAI 2016: 3170-3176 - 2015
- [c3]Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design for Non-Optimal Agents. AAAI 2015: 3298-3304 - 2014
- [c2]Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design. ICAPS 2014 - 2013
- [c1]Avigdor Gal, Sarah Keren, Mor Sondak, Matthias Weidlich, Hendrik Blom, Christian Bockermann:
Grand challenge: the TechniBall system. DEBS 2013: 319-324
Coauthor Index
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last updated on 2024-11-18 21:46 CET by the dblp team
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