Concepedia

Regularized Policy Learning

Regularized Policy Learning is a methodological framework within policy learning that incorporates regularization techniques to constrain policy complexity, thereby improving generalization and preventing overfitting in the derivation of optimal decision policies from observational or experimental data.

56

Publications

2.7K

Citations

150

Authors

71

Institutions

Publications per year

2017–2026

40

Parents

Publications

56

A comprehensive survey on regularization strategies in machine learning

Yingjie Tian, Yuqi Zhang · Information Fusion · 2021 · 289 citations

, , +16

Bridging the Gap Between Value and Policy Based Reinforcement Learning

Ofir Nachum, Mohammad Norouzi, Kelvin Xu et al. · arXiv (Cornell University) · 2017 · 228 citations · Full text

, , +14

Learning an Embedding Space for Transferable Robot Skills

Karol Hausman, Jost Tobias Springenberg, Ziyu Wang et al. · International Conference on Learning Representations · 2018 · 190 citations

, , +16

Semantic-based regularization for learning and inference

Michelangelo Diligenti, Marco Gori, Claudio Saccà · Artificial Intelligence · 2015 · 160 citations

, , +11

REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Peter L. Bartlett, Ambuj Tewari · arXiv (Cornell University) · 2012 · 142 citations · Full text

, , +10

1–5 of 56

Authors

150

  1. MG
    Mohammad Ghavamzadeh

    Adobe Systems (United States), United States

    4 publications · 194 citations

    4

    h-index

  2. CS
    Csaba Szepesvári

    University of Alberta, Canada

    4 publications · 254 citations

    4

    h-index

  3. NH
    Nicolas Heess

    Google (United States), United States

    3 publications · 231 citations

    3

    h-index

  4. YC
    Yuxin Chen

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  5. SC
    Shicong Cen

    Carnegie Mellon University, United States

    3 publications · 112 citations

    3

    h-index

1–5 of 150

Institutions

71

  1. University of Alberta

    Edmonton, Canada

    5 h-index

    12 publications

    851 citations

  2. Google (United States)

    Mountain View, United States

    5 h-index

    19 publications

    1.4K citations

  3. University of Michigan

    Ann Arbor, United States

    4 h-index

    6 publications

    163 citations

  4. Technion – Israel Institute of Technology

    Haifa, Israel

    4 h-index

    6 publications

    229 citations

  5. Stanford University

    Stanford, United States

    3 h-index

    3 publications

    133 citations

  6. Google DeepMind (United Kingdom)

    London, United Kingdom

    3 h-index

    9 publications

    325 citations

  7. University of California, Berkeley

    Berkeley, United States

    3 h-index

    5 publications

    215 citations

  8. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    2 h-index

    2 publications

    32 citations

1–8 of 71

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 1K citations

    17

    h-index

  2. PolyPublie (École Polytechnique de Montréal)

    Repository · 2 publications · 167 citations

    2

    h-index

  3. Machine Learning

    2 publications · 118 citations

    2

    h-index

  4. International Conference on Learning Representations

    Conference · 2 publications · 222 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 104 citations

    2

    h-index

1–5