Concepedia

Robust Policy Learning

Robust Policy Learning is a policy learning framework that ensures stable and effective decision-making under environmental uncertainties and distributional shifts by explicitly accounting for variability and adversarial perturbations during training.

131

Publications

7K

Citations

400

Authors

152

Institutions

Publications per year

2017–2026

103

Parents

Publications

131

Robust Adversarial Reinforcement Learning

Lerrel Pinto, James Davidson, Rahul Sukthankar et al. · arXiv (Cornell University) · 2017 · 385 citations · Full text

, , +14

Differentiable Abstract Interpretation for Provably Robust Neural Networks

Matthew Mirman, Timon Gehr, Martin Vechev · International Conference on Machine Learning · 2018 · 310 citations

, , +12

Doubly Robust Policy Evaluation and Learning

John Langford, Lihong Li · arXiv (Cornell University) · 2011 · 303 citations · Full text

, , +14

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient

Shihui Li, Yi Wu, Xinyue Cui et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 288 citations · Full text

, , +16

Doubly robust policy evaluation and learning

2011 · 225 citations

, , +14

1–5 of 131

Authors

400

  1. SM
    Shie Mannor

    Technion – Israel Institute of Technology, Israel

    7 publications · 220 citations

    7

    h-index

  2. SL
    Sergey Levine

    University of California, Berkeley, United States

    5 publications · 257 citations

    5

    h-index

  3. CK
    C. Karen Liu

    Georgia Institute of Technology, United States

    4 publications · 330 citations

    4

    h-index

  4. DJ
    Daniel J. Mankowitz

    Technion – Israel Institute of Technology, Israel

    4 publications · 88 citations

    4

    h-index

  5. TM
    Timothy Mann

    Technion – Israel Institute of Technology, Israel

    4 publications · 88 citations

    4

    h-index

1–5 of 400

Institutions

152

  1. Google (United States)

    Mountain View, United States

    8 h-index

    13 publications

    1.8K citations

  2. Stanford University

    Stanford, United States

    6 h-index

    19 publications

    1K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    9 publications

    1.5K citations

  4. University of Illinois Urbana-Champaign

    Urbana, United States

    6 h-index

    18 publications

    1.4K citations

  5. University of Toronto

    Toronto, Canada

    5 h-index

    10 publications

    678 citations

  6. University of California, Berkeley

    Berkeley, United States

    5 h-index

    20 publications

    1.1K citations

  7. Georgia Institute of Technology

    Atlanta, United States

    4 h-index

    12 publications

    906 citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    4 h-index

    8 publications

    792 citations

1–8 of 152

Venues

  1. arXiv (Cornell University)

    Repository · 41 publications · 1.9K citations

    21

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 472 citations

    5

    h-index

  3. IEEE Robotics and Automation Letters

    3 publications · 165 citations

    3

    h-index

  4. International Conference on Machine Learning

    Conference · 3 publications · 378 citations

    3

    h-index

  5. Pattern Recognition

    2 publications · 111 citations

    2

    h-index

1–5