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Author Information
Aleksandra Faust (Google Brain)
Aleksandra Faust is a Senior Research Engineer at Google Brain, specializing in robot intelligence. Previously, Aleksandra led machine learning efforts for self-driving car planning and controls in Waymo and Google X, and was a researcher in Sandia National Laboratories, where she worked on satellites and other remote sensing applications. She earned a Ph.D. in Computer Science at the University of New Mexico (with distinction), a Master’s in Computer Science from University of Illinois at Urbana-Champaign, and a Bachelor’s in Mathematics from University of Belgrade, Serbia. Her research interests include reinforcement learning, adaptive motion planning, and machine learning for decision-making. Aleksandra won Tom L. Popejoy Award for the best doctoral dissertation at the University of New Mexico in Engineering, Mathematics, and Sciences in the period of 2011-2014. She was also awarded with the Best Paper in Service Robotics at ICRA 2018, Sandia National Laboratories’ Doctoral Studies Program and New Mexico Space Grant fellowships, as well as the Outstanding Graduate Student in Computer Science award. Her work has been featured in the New York Times.
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2021 : Fast Inference and Transfer of Compositional Task for Few-shot Task Generalization »
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2022 : Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios »
Yiren Lu · Yiren Lu · Yiren Lu · Justin Fu · George Tucker · Xinlei Pan · Eli Bronstein · Rebecca Roelofs · Benjamin Sapp · Brandyn White · Aleksandra Faust · Shimon Whiteson · Dragomir Anguelov · Sergey Levine -
2022 : Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration »
Srivatsan Krishnan · Natasha Jaques · Shayegan Omidshafiei · Dan Zhang · Izzeddin Gur · Vijay Janapa Reddi · Aleksandra Faust -
2022 : CLUTR: Curriculum Learning via Unsupervised Task Representation Learning »
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2023 Poster: DriveMax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research »
Cole Gulino · Justin Fu · Wenjie Luo · George Tucker · Eli Bronstein · Yiren Lu · Jean Harb · Xinlei Pan · Yan Wang · Xiangyu Chen · John Co-Reyes · Rishabh Agarwal · Rebecca Roelofs · Yao Lu · Nico Montali · Paul Mougin · Zoey Yang · Brandyn White · Aleksandra Faust · Rowan McAllister · Dragomir Anguelov · Benjamin Sapp -
2022 : Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration »
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2021 : Safe RL Debate »
Sylvia Herbert · Animesh Garg · Emma Brunskill · Aleksandra Faust · Dylan Hadfield-Menell -
2021 : Aleksandra Faust »
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2021 Poster: Environment Generation for Zero-Shot Compositional Reinforcement Learning »
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2020 Session: Orals & Spotlights Track 04: Reinforcement Learning »
David Ha · Aleksandra Faust