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Andreea Bobu
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2020 – today
- 2024
- [c15]Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan:
Aligning Human and Robot Representations. HRI 2024: 42-54 - [c14]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: 572-581 - [c13]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: 1323-1325 - [i17]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 abs/2402.03081 (2024) - 2023
- [c12]Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg:
Diagnosing and Repairing Feature Representations Under Distribution Shifts. CDC 2023: 3638-3645 - [c11]Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan:
SIRL: Similarity-based Implicit Representation Learning. HRI 2023: 565-574 - [c10]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: 27630-27641 - [i16]Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan:
SIRL: Similarity-based Implicit Representation Learning. CoRR abs/2301.00810 (2023) - [i15]Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan:
Aligning Robot and Human Representations. CoRR abs/2302.01928 (2023) - [i14]Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg:
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning. CoRR abs/2304.05238 (2023) - [i13]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 abs/2307.06333 (2023) - [i12]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 abs/2310.13018 (2023) - 2022
- [j3]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Inducing structure in reward learning by learning features. Int. J. Robotics Res. 41(5): 497-518 (2022) - [j2]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): 11260-11267 (2022) - [c9]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: 13406-13413 - [i11]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Inducing Structure in Reward Learning by Learning Features. CoRR abs/2201.07082 (2022) - [i10]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 abs/2203.02091 (2022) - [i9]Andreea Bobu, Andi Peng:
Aligning Robot Representations with Humans. CoRR abs/2205.07882 (2022) - [i8]David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan:
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. CoRR abs/2212.00169 (2022) - 2021
- [c8]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Feature Expansive Reward Learning: Rethinking Human Input. HRI 2021: 216-224 - [c7]Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan:
Situational Confidence Assistance for Lifelong Shared Autonomy. ICRA 2021: 2783-2789 - [c6]Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan:
Dynamically Switching Human Prediction Models for Efficient Planning. ICRA 2021: 3495-3501 - [i7]Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan:
Dynamically Switching Human Prediction Models for Efficient Planning. CoRR abs/2103.07815 (2021) - [i6]Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan:
Situational Confidence Assistance for Lifelong Shared Autonomy. CoRR abs/2104.06556 (2021) - [i5]Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Learning Perceptual Concepts by Bootstrapping from Human Queries. CoRR abs/2111.05251 (2021) - 2020
- [j1]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): 835-854 (2020) - [c5]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: 429-437 - [c4]Andreea Bobu:
Detecting Hypothesis Space Misspecification in Robot Learning from Human Input. HRI (Companion) 2020: 555-557 - [i4]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 abs/2001.04465 (2020) - [i3]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 abs/2002.00941 (2020) - [i2]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Feature Expansive Reward Learning: Rethinking Human Input. CoRR abs/2006.13208 (2020)
2010 – 2019
- 2018
- [c3]Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan:
Learning under Misspecified Objective Spaces. CoRL 2018: 796-805 - [c2]Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell:
Adapting to Continuously Shifting Domains. ICLR (Workshop) 2018 - [i1]Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan:
Learning under Misspecified Objective Spaces. CoRR abs/1810.05157 (2018) - 2016
- [c1]Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland:
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI 2016: 60-67
Coauthor Index
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last updated on 2024-04-25 05:44 CEST by the dblp team
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