Andreea Bobu

According to our database, Andreea Bobu authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Goal Inference from Open-Ended Dialog.

Rachel Ma, Jingyi Qu, Andreea Bobu, Dylan Hadfield-Menell

CoRR, 2024

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas

CoRR, 2024

Adaptive Language-Guided Abstraction from Contrastive Explanations.

Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu

CoRR, 2024

Preference-Conditioned Language-Guided Abstraction.

Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning.

Bahar Irfan, Mariacarla Staffa, Andreea Bobu, Nikhil Churamani

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Aligning Human and Robot Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Getting aligned on representational alignment.

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

CoRR, 2023

Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning.

Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg

CoRR, 2023

Aligning Robot and Human Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan

CoRR, 2023

Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.

Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2023

SIRL: Similarity-based Implicit Representation Learning.

Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Diagnosing and Repairing Feature Representations Under Distribution Shifts.

Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Learning Perceptual Concepts by Bootstrapping From Human Queries.

Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox

IEEE Robotics Autom. Lett., 2022

Inducing structure in reward learning by learning features.

Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan

Int. J. Robotics Res., 2022

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking.

David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan

CoRR, 2022

Aligning Robot Representations with Humans.

Andreea Bobu, Andi Peng

CoRR, 2022

Teaching Robots to Span the Space of Functional Expressive Motion.

Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Situational Confidence Assistance for Lifelong Shared Autonomy.

Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamically Switching Human Prediction Models for Efficient Planning.

Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Feature Expansive Reward Learning: Rethinking Human Input.

Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections.

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan

IEEE Trans. Robotics, 2020

LESS is More: Rethinking Probabilistic Models of Human Behavior.

Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Detecting Hypothesis Space Misspecification in Robot Learning from Human Input.

Andreea Bobu

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2018

Adapting to Continuously Shifting Domains.

Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning under Misspecified Objective Spaces.

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2016

Patch-Based Discrete Registration of Clinical Brain Images.

Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016