Policy Set Generation

Policy Set Generation is the systematic process of constructing a comprehensive set of policies that each represent distinct optimal trade-offs among conflicting objectives in a Multi-Objective Markov Decision Process, distinguished from other solution methods by its focus on producing a diverse and complete collection of strategies rather than a single policy.

29

Publications

1.8K

Citations

82

Authors

42

Institutions

Publications per year

2017–2026

10

Authors

82

  1. DP
    Daniel P. Loucks

    Cornell University, United States

    2 publications · 705 citations

    2

    h-index

  2. AA
    Alessandro Abate

    University of Oxford, United Kingdom

    1 publications · 24 citations

    1

    h-index

  3. HH
    He Huang

    Soochow University, China

    1 publications · 12 citations

    1

    h-index

  4. SF
    S. Felix Wu

    University of California, Davis, United States

    1 publications · 19 citations

    1

    h-index

  5. ZS
    Zhe Sun

    Shanghai Jiao Tong University, China

    1 publications · 66 citations

    1

    h-index

1–5 of 82

Venues

  1. Water Resources Research

    2 publications · 682 citations

    2

    h-index

  2. The International Journal of Robotics Research

    IJRR · 1 publications · 36 citations

    1

    h-index

  3. Journal of Spacecraft and Rockets

    1 publications · 28 citations

    1

    h-index

  4. Performance Evaluation

    1 publications · 24 citations

    1

    h-index

  5. USENIX Security Symposium

    Conference · 1 publications · 287 citations

    1

    h-index

1–5