2026
BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management
Kevin Bradley Dsouza, Enoch Ofosu, Daniel Chukwuemeka Amaogu, Jérôme Pigeon, Richard Boudreault, Pooneh Maghoul +2
ICLR 2026poster
Boreal forests store 30-40\% of terrestrial carbon, much in climate-vulnerable permafrost soils, making their management critical for climate mitigation. However, optimizing forest management for both carbon sequestration and permafrost preservation presents complex trade-offs that current tools can…