
Sarah Keren
@sarahkeren_
I am a senior lecturer (assistant professor) at the Computer Science Faculty at the Technion, Israel Institute of Technology
ID: 1148993115044245504
https://sarahkeren.wixsite.com/sarahkeren-academics 10-07-2019 16:31:20
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I am excited to share that I will be joining the Computer Science Faculty at the Technion, Israel Institute of Technology Technion Israel as a senior lecturer (assistant professor) this fall. I am deeply grateful to all my mentors, friends & family for helping me on this journey!







ืืืฆื ืืืขืฆืจ ืืชืื ืช ืกืืื ืืชื ืืืื ืืืชืืจ ืื ืืืืจ ืืืื ื ืืืชืืชื ืืช ืืขืฆืืจืื ืื ืืืคืืื 15 ืืื ืืื ืื ืื ืืกืชืื ืื ื ืืช ืืคื ืดืื ืื ืื ืืื ืืฉื ืฉืืืจ ืืฉืจืืืด ๐ฎ๐ฑ




Guy Azran Sarah Keren et al. Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning NeurIPS Workshop on Generalization in Planning Sat 16 Dec (also accepted at AAAI-24!) arxiv.org/abs/2307.05209


Interested in how multi-agent reinforcement learning (MARL) can support the decentralization and decarbonization of energy networks and mitigate the associated challenges? Have a look at our survey, written with Chaimaa Essayeh, @UoE_Agents, and Thomas Morstyn arxiv.org/abs/2404.15583


ืืืขืื ื-150 ืืืจืืช ืืืืืืง ืืืืืืืืช ืืืฉืจืื ืืฉืืจื ืฉื ืงืจื ืืช ืืื ืกืืืื ืืืคืฉืจื ืืืื ื ืืงืจืื ืืขืืืืืื ืืขืืืืืชืืื ืืืฆืืจืฃ ืืคืขืืืืืืช ืืืืืืช ืืจืืื ืืืจืฅ ืืืืืจืช ืืืืืคืื ืืืืืืคืืช. ืืื ืืืืจืืช: Wix, Fiverr, ืืืื ืืื, ืืื ืืืืง, Minute Media, ืืื ืืื, ืจืืืก, Global-e, ืืคืกืคืืืืจ, CHEQ , Meta, ืคืืคืืื


STARTING SOON! Join us for the GRASP Seminar featuring Dr. Sarah Keren Sarah Keren who will be presenting "Encouraging Autonomous Agents to Behave Nicely" from 3PM-4PM. More info: grasp.upenn.edu/events/spring-โฆ #GRASP #GRASPLab #GRASPSeminar


I greatly enjoyed the #AAAI-25 Bridge Program on Learning for Integrated Task and Motion Planning. Thanks to Brian Williams, Michael Posa, Peter Stone , DavidHeld, Jiayuan Mao, and Rachel Holladay and all participants. Link to all materials: github.com/CLAIR-LAB-TECHโฆ
