Path-integral Control

Path-Integral Control is a stochastic optimal control method that computes control policies by leveraging the path integral formulation to approximate the solution of the Hamilton-Jacobi-Bellman equation through weighted averaging of system trajectories.

72

Publications

4.6K

Citations

160

Authors

86

Institutions

Publications per year

2017–2026

30

Authors

160

  1. EA
    Evangelos A. Theodorou

    Georgia Institute of Technology, United States

    20 publications · 2K citations

    16

    h-index

  2. HJ
    Hilbert J. Kappen

    Radboud University Nijmegen, Netherlands

    9 publications · 712 citations

    9

    h-index

  3. SS
    Stefan Schaal

    University of Southern California, United States

    6 publications · 930 citations

    6

    h-index

  4. GW
    Grady Williams

    Georgia Institute of Technology, United States

    5 publications · 875 citations

    5

    h-index

  5. BV
    Bart van den Broek

    Radboud University Nijmegen, Netherlands

    4 publications · 192 citations

    4

    h-index

1–5 of 160

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 459 citations

    11

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 177 citations

    4

    h-index

  3. 2

    h-index

  4. IFAC Proceedings Volumes

    2 publications · 46 citations

    2

    h-index

  5. Uncertainty in Artificial Intelligence

    Conference · 2 publications · 78 citations

    2

    h-index

1–5