Trajectory Matching

Trajectory Matching is a method in imitation learning that aligns agent-generated state-action sequences with expert demonstrations by minimizing divergence between corresponding trajectories in the state-space.

100

Publications

5.7K

Citations

376

Authors

187

Institutions

Publications per year

2017–2026

50

Authors

376

  1. PM
    Patrice Malfreyt

    Centre National de la Recherche Scientifique, France

    4 publications · 119 citations

    4

    h-index

  2. AD
    Alain Dequidt

    Centre National de la Recherche Scientifique, France

    4 publications · 119 citations

    4

    h-index

  3. YL
    Youfu Li

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 71 citations

    3

    h-index

  4. JD
    Julien Devémy

    Institut de Chimie de Clermont-Ferrand, France

    3 publications · 87 citations

    3

    h-index

  5. XN
    Xiaoji Niu

    Wuhan University, China

    2 publications · 48 citations

    2

    h-index

1–5 of 376

Venues

  1. 3

    h-index

  2. IEEE Access

    3 publications · 57 citations

    3

    h-index

  3. Sensors

    3 publications · 66 citations

    3

    h-index

  4. Mathematical Problems in Engineering

    MPE · 2 publications · 52 citations

    2

    h-index

  5. Journal of Intelligent Transportation Systems

    2 publications · 30 citations

    2

    h-index

1–5