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Thomas Sterner

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#reinforcement learning Open access Sep 2026

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

Abstract To meet the Kunming-Montreal Global Biodiversity Framework, spatial planning must upscale area-based conservation, while ensuring equitable governance and local community integration. Historically, a deep divide has persisted between data-driven, top-down systematic conservation planning, often performed at la...

Daniele Silvestro, Stefano Goria, E‐Ping Rau et al. · 0 citations

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