Concepedia

Continual Reinforcement Learning

Continual Reinforcement Learning is a subfield of reinforcement learning that focuses on an agent's ability to sequentially acquire and adapt to new tasks or environments over time while preserving and leveraging knowledge from previous experiences to prevent catastrophic forgetting and enable efficient lifelong adaptation.

288

Publications

18.3K

Citations

1.1K

Authors

357

Institutions

Publications per year

2017–2026

223

Parents

Publications

288

Dota 2 with Large Scale Deep Reinforcement Learning

Christopher Berner, Greg Brockman, Brooke Chan et al. · arXiv (Cornell University) · 2019 · 1K citations · Full text

, , +15

Reinforcement learning of motor skills with policy gradients

Jan Peters, Stefan Schaal · Neural Networks · 2008 · 864 citations

, , +14

The Option-Critic Architecture

Pierre‐Luc Bacon, Jean Harb, Doina Precup · 2017 · 695 citations · Full text

, , +12

Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges

Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian et al. · arXiv (Cornell University) · 2019 · 492 citations · Full text

, , +12

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

Renzhi Lu, Seung Ho Hong · Applied Energy · 2018 · 392 citations

, , +16

1–5 of 288

Authors

1.1K

  1. IR
    Irina Rish

    IBM (United States), United States

    4 publications · 493 citations

    4

    h-index

  2. DF
    David Filliat

    École Nationale Supérieure de Techniques Avancées, France

    4 publications · 563 citations

    4

    h-index

  3. TL
    Timothée Lesort

    Laboratoire d’Informatique et Systèmes, France

    4 publications · 564 citations

    4

    h-index

  4. SL
    Sergey Levine

    University of California, Berkeley, United States

    3 publications · 65 citations

    3

    h-index

  5. ND
    Natalia Díaz-Rodríguez

    Universidad de Granada, Spain

    3 publications · 544 citations

    3

    h-index

1–5 of 1.1K

Institutions

357

  1. McGill University

    Montreal, Canada

    7 h-index

    14 publications

    3.1K citations

  2. Tsinghua University

    Beijing, China

    7 h-index

    22 publications

    640 citations

  3. Beihang University

    Beijing, China

    6 h-index

    19 publications

    531 citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    8 publications

    694 citations

  5. Southeast University

    Nanjing, China

    5 h-index

    18 publications

    825 citations

  6. Tianjin University

    Tianjin, China

    5 h-index

    15 publications

    1.5K citations

  7. Georgia Institute of Technology

    Atlanta, United States

    5 h-index

    17 publications

    643 citations

  8. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    21 publications

    701 citations

1–8 of 357

Venues

  1. arXiv (Cornell University)

    Repository · 40 publications · 3.2K citations

    21

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 690 citations

    8

    h-index

  3. Applied Energy

    7 publications · 1.1K citations

    7

    h-index

  4. Knowledge-Based Systems

    5 publications · 165 citations

    5

    h-index

  5. Advanced Engineering Informatics

    5 publications · 135 citations

    5

    h-index

1–5