Concepedia

Learning From Sparse Rewards

Learning From Sparse Rewards is a reinforcement learning paradigm in which an agent must acquire optimal behavior from infrequent and minimal feedback signals, distinguished by the scarcity of reward occurrences relative to the duration and complexity of the task.

188

Publications

10K

Citations

692

Authors

201

Institutions

Publications per year

2017–2026

176

Parents

Publications

188

Deep Reinforcement Learning: A Survey

Xu Wang, Sen Wang, Xingxing Liang et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 774 citations

, , +15

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Todd Hester, Jonathan Scholz, Fumin Wang et al. · arXiv (Cornell University) · 2017 · 510 citations · Full text

, , +16

Learning Latent Dynamics for Planning from Pixels

Danijar Hafner, Timothy Lillicrap, Ian Fischer et al. · arXiv (Cornell University) · 2018 · 367 citations · Full text

, , +17

Hindsight Experience Replay

Marcin Andrychowicz, Filip Wolski, Alex Ray et al. · arXiv (Cornell University) · 2017 · 352 citations · Full text

, , +15

Deep reinforcement learning: a survey

Ning Liu, Yiyun Zhang, Dawei Feng et al. · Frontiers of Information Technology & Electronic Engineering · 2020 · 277 citations

, , +15

1–5 of 188

Authors

692

  1. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    14 publications · 1.2K citations

    13

    h-index

  2. SL
    Sergey Levine

    University of California, Berkeley, United States

    8 publications · 497 citations

    8

    h-index

  3. NH
    Nicolas Heess

    Google (United States), United States

    7 publications · 1.3K citations

    7

    h-index

  4. TL
    Timothy Lillicrap

    Google (United States), United States

    5 publications · 757 citations

    5

    h-index

  5. AG
    Abhishek Gupta

    University of California, Berkeley, United States

    5 publications · 161 citations

    5

    h-index

1–5 of 692

Institutions

201

  1. University of California, Berkeley

    Berkeley, United States

    13 h-index

    36 publications

    2K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    11 h-index

    22 publications

    1.2K citations

  3. Google (United States)

    Mountain View, United States

    11 h-index

    32 publications

    3.4K citations

  4. University of Oxford

    Oxford, United Kingdom

    7 h-index

    21 publications

    845 citations

  5. Tsinghua University

    Beijing, China

    7 h-index

    14 publications

    386 citations

  6. The University of Texas at Austin

    Austin, United States

    6 h-index

    18 publications

    680 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    4 h-index

    12 publications

    1.7K citations

  8. University of Applied Sciences and Arts of Southern Switzerland

    Manno, Switzerland

    4 h-index

    8 publications

    232 citations

1–8 of 201

Venues

  1. arXiv (Cornell University)

    Repository · 85 publications · 4.6K citations

    34

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 188 citations

    9

    h-index

  3. 6

    h-index

  4. International Conference on Machine Learning

    Conference · 4 publications · 370 citations

    4

    h-index

  5. International Conference on Learning Representations

    Conference · 3 publications · 286 citations

    3

    h-index

1–5