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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 103 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2024)
CoRR (2024)
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2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDCpp.6596-6603, (2023)
ISCApp.14:1-14:16, (2023)
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 7553-7560
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (2023)
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作者统计
#Papers: 103
#Citation: 2050
H-Index: 23
G-Index: 44
Sociability: 6
Diversity: 0
Activity: 2
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