Search Results for author:
Found 3 papers, 2 papers with code
Pretty darn good control: when are approximate solutions better than approximate models
But when is the optimal solution to an approximate, stylized model better than an approximate solution to a more accurate model?
Power and accountability in reinforcement learning applications to environmental policy
Machine learning (ML) methods already permeate environmental decision-making, from processing high-dimensional data on earth systems to monitoring compliance with environmental regulations.
Deep Reinforcement Learning for Conservation Decisions
Can machine learning help us make better decisions about a changing planet?
Cannot find the paper you are looking for? You can
Submit a new open access paper.
