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  5. Reconciling top-down and bottom-up conservation priorities with reinforcement learning from human feedback.

Reconciling top-down and bottom-up conservation priorities with reinforcement learning from human feedback.

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Silvestro_2026_Environ._Res._Lett._21_181002.pdf

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Resource type
Journal article
Creator (person)
Silvestro, Daniele
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Goria, Stefano
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Rau, E-ping
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Sterner, Thomas
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Antonelli, Alexandre
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Date published
September 25, 2026
Organisational unit
Science
Project(s)
Priority 1: Ecosystem Stewardship
Funder
Funder nameISNIAwards
ETH Zurich, Switzerland
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Swiss National Science Foundation, Switzerland
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PEACE research program
European Biodiversity Partnership, France
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PEACE research program
Foundation for Strategic Environmental Research, Sweden
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BIOPATH research program
Swedish Research Council, Sweden
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(2024-04303)
Royal Botanic Gardens, Kew, United Kingdom
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Kamprad Family Foundation, Sweden
Project 20230142
Volume
21
Issue
18
Article number
181002
Publisher
Institute of Physics
Place of publication
UK
ISSN
1748-9326
Date accepted
September 4, 2026
Rights statement
In Copyright
Licence
CC BY 4.0
DOI
10.1088/1748-9326/aea2ab
Keywords
Area-based conservation
Biodiversity conservation
Reinforcement learning
Spatial conservation prioritization
sSystematic conservation planning
Additional information
IF = 5.4 (2025)
Managed by the British Library and supported by the AHRC

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