Deep learning, reinforcement learning, and world models.
- DOI
- 10.1016/j.neunet.2022.03.037
- Published
- 2022 Aug
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2022.03.037,
title = {Deep learning, reinforcement learning, and world models.},
author = {Matsuo Y and LeCun Y and Sahani M and Precup D and Silver D and Sugiyama M and Uchibe E and Morimoto J},
year = {2022},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2022.03.037},
url = {https://doi.org/10.1016/j.neunet.2022.03.037}
}RIS
TY - JOUR TI - Deep learning, reinforcement learning, and world models. AU - Matsuo Y AU - LeCun Y AU - Sahani M AU - Precup D AU - Silver D AU - Sugiyama M AU - Uchibe E AU - Morimoto J PY - 2022 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2022.03.037 UR - https://doi.org/10.1016/j.neunet.2022.03.037 ER -
APA
Y, M., Y, L., M, S., D, P., D, S., M, S., E, U., & J, M. (2022). Deep learning, reinforcement learning, and world models.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2022.03.037
Source records
- pubmed · retrieved 2026-09-26T23:00:49.303Z