World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10797
World Ranking
4355
National Ranking
2036

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Anca D. Dragan is affiliated with the University of California, Berkeley in the United States. Their research primarily focuses on the field of computer science, with an extensive publication record that spans 136 works. Within this domain, Dragan's key areas include artificial intelligence, social psychology, computer vision and pattern recognition, control and systems engineering, and cognitive neuroscience.

Their work frequently addresses advanced topics in machine learning and robotics. Notably, their main topics of research include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Natural Language Processing Techniques
  • Robot Manipulation and Learning
  • Adversarial Robustness in Machine Learning
  • Multimodal Machine Learning Applications
  • Explainable Artificial Intelligence (XAI)

Dragan has contributed significantly to various publication venues. The most common platforms where their work appears are:

  • arXiv (Cornell University)
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)
  • IEEE Robotics and Automation Letters
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers by Dragan include:

  • "Managing extreme AI risks amid rapid progress," 2024, Science
  • "Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback," 2023, arXiv (Cornell University)
  • "Reward-rational (implicit) choice: A unifying formalism for reward learning," 2020, arXiv (Cornell University)
  • "Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media," 2023, arXiv (Cornell University)
  • "Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models," 2022, 2022 International Conference on Robotics and Automation (ICRA)

Frequent collaborators of Dragan include:

  • Sergey Levine
  • Micah Carroll
  • Daniel S. Brown
  • Pieter Abbeel
  • Stuart Russell

In recognition of their work, Dragan became a Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • CHOMP: Covariant Hamiltonian optimization for motion planning

    Matt Zucker;Nathan Ratliff;Anca D. Dragan;Mihail Pivtoraiko

  • Legibility and predictability of robot motion

    Anca D. Dragan;Kenton C.T. Lee;Siddhartha S. Srinivasa

  • Planning for Autonomous Cars that Leverage Effects on Human Actions

    Dorsa Sadigh;Shankar Sastry;Sanjit A. Seshia;Anca D. Dragan

  • Cooperative Inverse Reinforcement Learning

    Dylan Hadfield-Menell;Stuart J. Russell;Pieter Abbeel;Anca D. Dragan

  • A policy-blending formalism for shared control

    Anca D Dragan;Siddhartha S Srinivasa

  • Effects of Robot Motion on Human-Robot Collaboration

    Anca D. Dragan;Shira Bauman;Jodi Forlizzi;Siddhartha S. Srinivasa

  • Toward seamless human-robot handovers

    Kyle Strabala;Min Kyung Lee;Anca Dragan;Jodi Forlizzi

  • Cooperative Inverse Reinforcement Learning

    Dylan Hadfield-Menell;Anca Dragan;Pieter Abbeel;Stuart Russell

  • Active preference-based learning of reward functions

    Dorsa Sadigh;Anca D. Dragan;Shankar Sastry;Sanjit A. Seshia

  • Information gathering actions over human internal state

    Dorsa Sadigh;S. Shankar Sastry;Sanjit A. Seshia;Anca Dragan

  • Hierarchical Game-Theoretic Planning for Autonomous Vehicles

    Jaime F. Fisac;Eli Bronstein;Elis Stefansson;Dorsa Sadigh

  • Inverse Reward Design

    Dylan Hadfield-Menell;Smitha Milli;Pieter Abbeel;Stuart J. Russell

  • Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state

    Dorsa Sadigh;Nick Landolfi;Shankar S. Sastry;Sanjit A. Seshia

  • Learning Robot Objectives from Physical Human Interaction

    Andrea Bajcsy;Dylan P. Losey;Marcia K. O’Malley;Anca D. Dragan

  • Formalizing Assistive Teleoperation

    Anca D. Dragan;Siddhartha S. Srinivasa

  • On the Utility of Learning about Humans for Human-AI Coordination

    Micah Carroll;Rohin Shah;Mark K. Ho;Thomas L. Griffiths

  • Generating Legible Motion

    Anca D. Dragan;Siddhartha S. Srinivasa

  • Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

    Unknown

  • The Social Cost of Strategic Classification

    Smitha Milli;John Miller;Anca D. Dragan;Moritz Hardt

  • Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

    S. S. Srinivasa;D. Berenson;M. Cakmak;A. Collet

  • Shared Autonomy via Deep Reinforcement Learning

    Siddharth Reddy;Anca D. Dragan;Sergey Levine

  • Model Reconstruction from Model Explanations

    Smitha Milli;Ludwig Schmidt;Anca D. Dragan;Moritz Hardt

Frequent Co-Authors

Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Sergey Levine
Sergey Levine University of California, Berkeley
Claire J. Tomlin
Claire J. Tomlin University of California, Berkeley
Shankar Sastry
Shankar Sastry University of California, Berkeley
Thomas L. Griffiths
Thomas L. Griffiths Princeton University
Ken Goldberg
Ken Goldberg University of California, Berkeley
Dorsa Sadigh
Dorsa Sadigh Stanford University
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley

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