Multi-objective Reward Design

Multi-Objective Reward Design is a reward design framework that integrates multiple, potentially conflicting objectives into a single reward signal by systematically balancing their relative trade-offs and priorities in reinforcement learning or decision-making systems.

15

Publications

546

Citations

66

Authors

26

Institutions

Publications per year

2017–2026

15

Authors

66

  1. WS
    Weilong Song

    Beijing Institute of Technology, China

    1 publications · 10 citations

    1

    h-index

  2. ZL
    Zhijun Li

    University of Science and Technology of China, China

    1 publications · 34 citations

    1

    h-index

  3. BS
    Bo Su

    University of Bristol, United Kingdom

    1 publications · 10 citations

    1

    h-index

  4. YL
    Youfang Lin

    Beijing Jiaotong University, China

    1 publications · 26 citations

    1

    h-index

  5. JY
    Jialin Yu

    University of Georgia, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 66

Venues

  1. IEEE Transactions on Vehicular Technology

    4 publications · 263 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  3. 1

    h-index

  4. IET Intelligent Transport Systems

    1 publications · 34 citations

    1

    h-index

  5. Journal of Molecular Modeling

    1 publications · 23 citations

    1

    h-index

1–5