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

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	148
Journal	Artificial Intelligence Review
Volume	59
Issue number	6
DOIs	https://doi.org/10.1007/s10462-026-11520-x
State	Published - Jun 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

ASJC Scopus Subject Areas

Language and Linguistics
Linguistics and Language
Artificial Intelligence

Keywords

Deep reinforcement learning
Electricity cost
Energy efficiency
Greenhouse gas emissions

Access to Document

10.1007/s10462-026-11520-x

Cite this

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title = "Greener deep reinforcement learning: analysis of energy and carbon efficiency across Atari benchmarks",

keywords = "Deep reinforcement learning, Electricity cost, Energy efficiency, Greenhouse gas emissions",

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

note = "Publisher Copyright: {\textcopyright} The Author(s) 2026.",

year = "2026",

month = jun,

doi = "10.1007/s10462-026-11520-x",

language = "English",

volume = "59",

number = "6",

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T1 - Greener deep reinforcement learning

T2 - analysis of energy and carbon efficiency across Atari benchmarks

AU - Gardner, Jason

AU - Dutta, Ayan

AU - Roy, Swapnoneel

AU - Patrick Kreidl, O.

AU - Bölöni, Ladislau

N1 - Publisher Copyright: © The Author(s) 2026.

PY - 2026/6

Y1 - 2026/6

KW - Deep reinforcement learning

KW - Electricity cost

KW - Energy efficiency

KW - Greenhouse gas emissions

UR - https://www.scopus.com/pages/publications/105039749246

UR - https://www.scopus.com/pages/publications/105039749246#tab=citedBy

U2 - 10.1007/s10462-026-11520-x

DO - 10.1007/s10462-026-11520-x

M3 - Article

AN - SCOPUS:105039749246

SN - 0269-2821

VL - 59

JO - Artificial Intelligence Review

JF - Artificial Intelligence Review

IS - 6

M1 - 148

ER -

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

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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