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个人简介
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.
研究兴趣
论文共 93 篇作者统计合作学者相似作者
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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
引用4浏览0EI引用
4
0
arXiv (Cornell University) (2023)
引用59浏览0EI引用
59
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 7553-7560
Cole Gulino,Justin Fu,Wenjie Luo,George Tucker,Eli Bronstein,Yiren Lu, Jean Harb,Xinlei Pan,Yan Wang,Xiangyu Chen,John D. Co-Reyes,Rishabh Agarwal,
arXiv (Cornell University) (2023)
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0
0
ICLR 2023 (2023): 2803-2821
引用20浏览0EI引用
20
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