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Greener deep reinforcement learning: analysis of energy and carbon efficiency across Atari benchmarks

Gardner, Jason, Dutta, Ayan, Roy, Swapnoneel, Patrick Kreidl, O., Bölöni, Ladislau·2026·Artificial Intelligence Review
DOI 10.1007/s10462-026-11520-x
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Metadata

Authors
Gardner, J., Dutta, A., Roy, S., Patrick Kreidl, O., & Bölöni, L.
Venue
Artificial Intelligence Review
Publisher
Springer Science and Business Media LLC
Published
2026-03-27
Volume
59
Issue
6
ISSN
1573-7462
DOI
10.1007/s10462-026-11520-x
Cited by
2
References
5
Language
en
Licence
Funders
  • National Science Foundation, United States (1932300)
  • National Science Foundation (1931767)

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Gardner, J., Dutta, A., Roy, S., Patrick Kreidl, O., & Bölöni, L. (2026). Greener deep reinforcement learning: analysis of energy and carbon efficiency across Atari benchmarks. Artificial Intelligence Review. https://doi.org/10.1007/s10462-026-11520-x

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