Concepedia

Multi-criteria Policy Optimization

Multi-Criteria Policy Optimization is a formal framework within multi-objective reinforcement learning that enables the systematic derivation of policies maximizing cumulative rewards across multiple conflicting objectives through structured trade-off analysis and preference articulation.

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Publications

51

Citations

3

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

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Authors

3

  1. JW
    Jyrki Wallenius

    Aalto University, Finland

    1 publications · 51 citations

    1

    h-index

  2. HW
    Hannele Wallenius

    New Mexico State University, United States

    1 publications · 51 citations

    1

    h-index

  3. PV
    Pentti Vartia

    University of Helsinki, Finland

    1 publications · 51 citations

    1

    h-index

1–3 of 3

Institutions

2

  1. Research Institute of the Finnish Economy

    Helsinki, Finland

    1 h-index

    1 publications

    51 citations

  2. University of Helsinki

    Helsinki, Finland

    1 h-index

    1 publications

    51 citations

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Venues

  1. Management Science

    1 publications · 51 citations

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