Andreea Bobu

50 papers A* 10A 1Misc 2Journal 32Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
GIFT: Generalizing Intent for Flexible Test-Time Rewards.
CoRR
Fin Amin, Nathaniel Dennler, Andreea Bobu
2026 J jnl
Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG.
CoRR
Nathaniel Dennler, Zhonghao Shi, Yiran Tao, Andreea Bobu, Stefanos Nikolaidis, Maja J. Mataric
2026 A* conf
Learning Contextually-Adaptive Rewards via Calibrated Features.
HRI
Alexandra Forsey-Smerek, Julie Shah, Andreea Bobu
2026 J jnl
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.
CoRR
Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang
2026 J jnl
Value of Information: A Framework for Human-Agent Communication.
CoRR
Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier
2025 J jnl
Context Matters: Learning Generalizable Rewards via Calibrated Features.
CoRR
Alexandra Forsey-Smerek, Julie Shah, Andreea Bobu
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025 A* conf
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.
ICLR
Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas
2025 J jnl
Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language.
CoRR
Minyoung Hwang, Alexandra Forsey-Smerek, Nathaniel Dennler, Andreea Bobu
2025 J jnl
Open-Universe Assistance Games.
CoRR
Rachel Ma, Jingyi Qu, Andreea Bobu, Dylan Hadfield-Menell
2025 J jnl
QuickLAP: Quick Language-Action Preference Learning for Autonomous Driving Agents.
CoRR
Jordan Abi Nader, David Lee, Nathaniel Dennler, Andreea Bobu
2024 Misc conf
Adaptive Language-Guided Abstraction from Contrastive Explanations.
CoRL
Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu
2024 J jnl
Adaptive Language-Guided Abstraction from Contrastive Explanations.
CoRR
Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu
2024 A* conf
Aligning Human and Robot Representations.
HRI
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
2024 J jnl
Goal Inference from Open-Ended Dialog.
CoRR
Rachel Ma, Jingyi Qu, Andreea Bobu, Dylan Hadfield-Menell
2024 J jnl
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.
CoRR
Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas
2024 — conf
Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning.
HRI (Companion)
Bahar Irfan, Mariacarla Staffa, Andreea Bobu, Nikhil Churamani
2024 A* conf
Preference-Conditioned Language-Guided Abstraction.
HRI
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2024 J jnl
Preference-Conditioned Language-Guided Abstraction.
CoRR
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2023 J jnl
Aligning Robot and Human Representations.
CoRR
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
2023 J jnl
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning.
CoRR
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
2023 — conf
Diagnosing and Repairing Feature Representations Under Distribution Shifts.
CDC
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
2023 A* conf
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.
ICML
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
2023 J jnl
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.
CoRR
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
2023 J jnl
Getting aligned on representational alignment.
CoRR
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
2023 A* conf
SIRL: Similarity-based Implicit Representation Learning.
HRI
Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
2023 J jnl
SIRL: Similarity-based Implicit Representation Learning.
CoRR
Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
2022 J jnl
Aligning Robot Representations with Humans.
CoRR
Andreea Bobu, Andi Peng
2022 J jnl
Inducing Structure in Reward Learning by Learning Features.
CoRR
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2022 J jnl
Inducing structure in reward learning by learning features.
Int. J. Robotics Res.
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2022 J jnl
Learning Perceptual Concepts by Bootstrapping From Human Queries.
IEEE Robotics Autom. Lett.
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2022 A conf
Teaching Robots to Span the Space of Functional Expressive Motion.
IROS
Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
2022 J jnl
Teaching Robots to Span the Space of Functional Expressive Motion.
CoRR
Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan
2022 J jnl
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking.
CoRR
David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan
2021 A* conf
Dynamically Switching Human Prediction Models for Efficient Planning.
ICRA
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021 J jnl
Dynamically Switching Human Prediction Models for Efficient Planning.
CoRR
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021 A* conf
Feature Expansive Reward Learning: Rethinking Human Input.
HRI
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2021 J jnl
Learning Perceptual Concepts by Bootstrapping from Human Queries.
CoRR
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2021 A* conf
Situational Confidence Assistance for Lifelong Shared Autonomy.
ICRA
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2021 J jnl
Situational Confidence Assistance for Lifelong Shared Autonomy.
CoRR
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
2020 — conf
Detecting Hypothesis Space Misspecification in Robot Learning from Human Input.
HRI (Companion)
Andreea Bobu
2020 J jnl
Feature Expansive Reward Learning: Rethinking Human Input.
CoRR
Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan
2020 A* conf
LESS is More: Rethinking Probabilistic Models of Human Behavior.
HRI
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
2020 J jnl
LESS is More: Rethinking Probabilistic Models of Human Behavior.
CoRR
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
2020 J jnl
Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections.
IEEE Trans. Robotics
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
2020 J jnl
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections.
CoRR
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan
2018 — conf
Adapting to Continuously Shifting Domains.
ICLR (Workshop)
Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell
2018 Misc conf
Learning under Misspecified Objective Spaces.
CoRL
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
2018 J jnl
Learning under Misspecified Objective Spaces.
CoRR
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan
2016 — conf
Patch-Based Discrete Registration of Clinical Brain Images.
Patch-MI@MICCAI
Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland