Melissa S. Chapman

According to our database, Melissa S. Chapman authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.

Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

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