Coactive Learning

Coactive Learning is a machine learning framework within human-robot interaction that enables collaborative robot adaptation through real-time, bidirectional feedback between the human and the robot, where the human guides the robot’s learning process without requiring fully correct demonstrations.

12

Publications

729

Citations

38

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

38

  1. TJ
    Thorsten Joachims

    Cornell University, United States

    4 publications · 209 citations

    4

    h-index

  2. PS
    Pannaga Shivaswamy

    Cornell University, United States

    2 publications · 70 citations

    2

    h-index

  3. HL
    Han Long

    Dalian University, China

    1 publications · 60 citations

    1

    h-index

  4. CY
    Chao Yan

    National University of Defense Technology, China

    1 publications · 60 citations

    1

    h-index

  5. CB
    Cynthia Breazeal

    Massachusetts Institute of Technology, United States

    1 publications · 149 citations

    1

    h-index

1–5 of 38

Venues

  1. Journal of Artificial Intelligence Research

    JAIR · 1 publications · 52 citations

    1

    h-index

  2. Chinese Journal of Aeronautics

    CJA · 1 publications · 60 citations

    1

    h-index

  3. Academy of Management Review

    AMR · 1 publications · 178 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 19 citations

    1

    h-index

  5. The International Journal of Robotics Research

    IJRR · 1 publications · 97 citations

    1

    h-index

1–5