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

Jason Gardner; Ayan Dutta; Swapnoneel Roy; O. Patrick Kreidl; Ladislau Bölöni

doi:10.1007/s10462-026-11520-x

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

Jason Gardner
, Ayan Dutta
, Swapnoneel Roy
, O. Patrick Kreidl
, Ladislau Bölöni

School of Computing

University of Central Florida

Producción científica: Article › revisión exhaustiva

Idioma original	English
Número de artículo	148
Publicación	Artificial Intelligence Review
Volumen	59
N.º	6
DOI	https://doi.org/10.1007/s10462-026-11520-x
Estado	Published - jun 2026

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Affordable and clean energy
Climate action

ASJC Scopus Subject Areas

Language and Linguistics
Linguistics and Language
Artificial Intelligence

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10.1007/s10462-026-11520-x

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author = "Jason Gardner and Ayan Dutta and Swapnoneel Roy and \{Patrick Kreidl\}, O. and Ladislau B{\"o}l{\"o}ni",

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AU - Bölöni, Ladislau

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

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ASJC Scopus Subject Areas

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