Andreea Bobu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Case Based Planning

Prediction Model

Feature Representation

Top Venues

HRI (Companion)

Publications

Bahar Irfan, Mariacarla Staffa, Andreea Bobu, Nikhil Churamani
Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning. HRI (Companion) (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. CoRR (2024)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
Aligning Human and Robot Representations. HRI (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. HRI (2024)
Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
SIRL: Similarity-based Implicit Representation Learning. CoRR (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML (2023)
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
Getting aligned on representational alignment. CoRR (2023)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
Aligning Robot and Human Representations. CoRR (2023)
Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
SIRL: Similarity-based Implicit Representation Learning. HRI (2023)
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
Diagnosing and Repairing Feature Representations Under Distribution Shifts. CDC (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR (2023)
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning. CoRR (2023)
Andreea Bobu, Andi Peng
Aligning Robot Representations with Humans. CoRR (2022)
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Learning Perceptual Concepts by Bootstrapping From Human Queries. IEEE Robotics Autom. Lett. 7 (4) (2022)
Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
Teaching Robots to Span the Space of Functional Expressive Motion. IROS (2022)
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
Inducing structure in reward learning by learning features. Int. J. Robotics Res. 41 (5) (2022)
Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
Teaching Robots to Span the Space of Functional Expressive Motion. CoRR (2022)
David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. CoRR (2022)
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
Inducing Structure in Reward Learning by Learning Features. CoRR (2022)
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
Feature Expansive Reward Learning: Rethinking Human Input. HRI (2021)
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
Dynamically Switching Human Prediction Models for Efficient Planning. ICRA (2021)
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Learning Perceptual Concepts by Bootstrapping from Human Queries. CoRR (2021)
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
Situational Confidence Assistance for Lifelong Shared Autonomy. CoRR (2021)
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
Situational Confidence Assistance for Lifelong Shared Autonomy. ICRA (2021)
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
Dynamically Switching Human Prediction Models for Efficient Planning. CoRR (2021)
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections. CoRR (2020)
Andreea Bobu
Detecting Hypothesis Space Misspecification in Robot Learning from Human Input. HRI (Companion) (2020)
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
LESS is More: Rethinking Probabilistic Models of Human Behavior. CoRR (2020)
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
Feature Expansive Reward Learning: Rethinking Human Input. CoRR (2020)
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. IEEE Trans. Robotics 36 (3) (2020)
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
LESS is More: Rethinking Probabilistic Models of Human Behavior. HRI (2020)
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
Learning under Misspecified Objective Spaces. CoRR (2018)
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
Learning under Misspecified Objective Spaces. CoRL (2018)
Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell
Adapting to Continuously Shifting Domains. ICLR (Workshop) (2018)
Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI (2016)