Deep Reinforcement Learning for Conservation Decisions. - Marcus Lapeyrolerie; Melissa S. Chapman; Kari E. A. Norman; Carl Boettiger (CoRR, 2021)

Power and accountability in reinforcement learning applications to environmental policy. - Melissa S. Chapman; Caleb Scoville; Marcus Lapeyrolerie; Carl Boettiger (CoRR, 2022)

Bridging adaptive management and reinforcement learning for more robust decisions. - Melissa S. Chapman; Lily Xu; Marcus Lapeyrolerie; Carl Boettiger (CoRR, 2023)

Pretty darn good control: when are approximate solutions better than approximate models. - Felipe Montealegre-Mora; Marcus Lapeyrolerie; Melissa S. Chapman; Abigail G. Keller; Carl Boettiger (CoRR, 2023)

What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge: scores and targets. - Freya Olsson; Cayelan C. Carey; Carl Boettiger; Gregory Harrison; Robert Ladwig; Marcus Lapeyrolerie; Abigail S. L. Lewis; Felipe Montealegre-Mora; Joseph S. Rabaey; Caleb J. Robbins; Xiao Yang; R. Quinn Thomas (Zenodo, 2024)