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Bio
Her research interests include learning for safe and scalable reinforcement learning, learning to learn, motion planning, decision-making, and robot behavior. Aleksandra won IEEE RAS Early Career Award for Industry, the Tom L. Popejoy Award for the best doctoral dissertation at the University of New Mexico in the period of 2011-2014, and was named Distinguished Alumna by the University of New Mexico School of Engineering. Her work has been featured in the New York Times, PC Magazine, ZdNet, VentureBeat, and was awarded Best Paper in Service Robotics at ICRA 2018, Best Paper in Reinforcement Learning for Real Life (RL4RL) at ICML 2019, and Best Paper of IEEE Computer Architecture Letters in 2020.
Research Interests
Papers共 102 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Rishabh Agarwal,Avi Singh,Lei M. Zhang,Bernd Bohnet, Luis Rosias,Stephanie Chan,Biao Zhang,Ankesh Anand, Zaheer Abbas,Azade Nova,John D. Co-Reyes,Eric Chu,
CoRR (2024)
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Meredith Morris,Jascha Sohl-Dickstein,Noah Fiedel, Tris Warkentin,Allan Dafoe,Aleksandra Faust,Clement Farabet,Shane Legg
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PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023 (2023): 186-201
CoRR (2023): 3556-3570
arXiv (Cornell University) (2023)
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 7553-7560
arXiv (Cornell University) (2023)
ICLR 2023 (2023): 2803-2821
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