Concepedia

Reward Constrained Learning

Reward Constrained Learning is a constrained optimization framework in reinforcement learning where policy learning is governed by explicit bounds on expected cumulative reward, distinguishing it from general safety-aware methods by enforcing hard constraints on reward attainment rather than penalizing unsafe behaviors.

37

Publications

2K

Citations

124

Authors

46

Institutions

Publications per year

2017–2026

33

Parents

Publications

37

Reward Constrained Policy Optimization

Chen Tessler, Daniel J. Mankowitz, Shie Mannor · arXiv (Cornell University) · 2018 · 235 citations · Full text

, , +13

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

Xiaoliang Chen, Baojia Li, Roberto Proietti et al. · Journal of Lightwave Technology · 2019 · 230 citations · Full text

, , +13

An actor-critic algorithm for constrained Markov decision processes

Vivek S. Borkar · Systems & Control Letters · 2004 · 178 citations

, , +11

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana · 2018 · 118 citations

, , +13

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

Qisong Yang, Thiago D. Simão, Simon H. Tindemans et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 95 citations · Full text

, , +16

1–5 of 37

Authors

124

  1. SM
    Shie Mannor

    Technion – Israel Institute of Technology, Israel

    3 publications · 289 citations

    3

    h-index

  2. DB
    Djallel Bouneffouf

    IBM (United States), United States

    2 publications · 70 citations

    2

    h-index

  3. TP
    Tu-Hoa Pham

    IBM Research - Tokyo, Japan

    2 publications · 129 citations

    2

    h-index

  4. CT
    Chen Tessler

    Technion – Israel Institute of Technology, Israel

    2 publications · 277 citations

    2

    h-index

  5. HD
    Hal Daumé

    University of Maryland, College Park, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 124

Institutions

46

  1. University of Maryland, College Park

    College Park, United States

    3 h-index

    3 publications

    73 citations

  2. Tsinghua University

    Beijing, China

    3 h-index

    7 publications

    168 citations

  3. Princeton University

    Princeton, United States

    3 h-index

    3 publications

    122 citations

  4. Microsoft (United States)

    Redmond, United States

    2 h-index

    4 publications

    113 citations

  5. IBM Research - Tokyo

    Tokyo, Japan

    2 h-index

    6 publications

    387 citations

  6. University of California, Davis

    Davis, United States

    2 h-index

    7 publications

    1.2K citations

  7. Cornell University

    Ithaca, United States

    1 h-index

    2 publications

    30 citations

  8. The University of Tokyo

    Tokyo, Japan

    1 h-index

    1 publications

    94 citations

1–8 of 46

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 528 citations

    11

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 250 citations

    4

    h-index

  3. Neural Networks

    1 publications · 21 citations

    1

    h-index

  4. Control Engineering Practice

    1 publications · 14 citations

    1

    h-index

  5. Sensors

    1 publications · 16 citations

    1

    h-index

1–5