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CHILD: A First Step Towards Continual Learning
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“While continual learning does not necessarily emphasize agent-gathered data or sustained interaction with the environment, it aligns with enactive views in emphasizing ongoing adaptation under non-stationarity.”
From Toward Enactive Artificial Intelligence (2026) · cites this paper as Ring, 1997
Citations
Cites
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Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.01.012 · Cited by 3,117
Memory Aware Synapses: Learning What (not) to Forget
Aljundi, R., Babiloni, F., Elhoseiny, M., Rohrbach, M., & Tuytelaars, T. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01219-9_9 · Cited by 1,590
A perspective view and survey of meta-learning
Vilalta, R., & Drissi, Y. (2002) · Artificial Intelligence Review · doi:10.1023/a:1019956318069 · Cited by 1,108
Machado, M. C., Bellemare, M. G., Talvitie, E., Veness, J., Hausknecht, M., & Bowling, M. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5699 · Cited by 359
Towards Continual Reinforcement Learning: A Review and Perspectives
Khetarpal, K., Riemer, M., Rish, I., & Precup, D. (2022) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.13673 · Cited by 224
Toward Enactive Artificial Intelligence
Rafiee, B., & Sutton, R. (2026) · arXiv · doi:10.48550/arxiv.2605.24238
Metadata
- Authors
- Ring, M. B.
- Corresponding author
- Ring, Mark B.
- Venue
- Machine Learning
- Published
- 1997-07
- Volume
- 28
- Issue
- 1
- Pages
- 77-104
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1584431645
- Cited by
- 143
- References
- 1
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 12 · 2023: 12 · 2022: 9 · 2021: 11 · 2020: 17 · 2019: 17 · 2018: 11 · 2017: 4 · 2016: 1 · 2015: 3 · 2014: 1 · 2013: 5 · 2012: 3
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Machine Learning (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- continual learning, hierarchical learning, incremental learning, skill transfer, learning agents
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