Marcus Lapeyrolerie

According to our database, Marcus Lapeyrolerie authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Dataset, April, 2024

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

Bridging adaptive management and reinforcement learning for more robust decisions.

Melissa S. Chapman, Lily Xu, Marcus Lapeyrolerie, Carl Boettiger

CoRR, 2023

2022

Power and accountability in reinforcement learning applications to environmental policy.

Melissa S. Chapman, Caleb Scoville, Marcus Lapeyrolerie, Carl Boettiger

CoRR, 2022

2021

Deep Reinforcement Learning for Conservation Decisions.

Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

CoRR, 2021