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Found 7 papers, 6 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?
Resolving the measurement uncertainty paradox in ecological management
This paradox is best illustrated in the example of fisheries management, where many ideas that guide thinking about ecological decision making were first developed.
How to Read a Research Compendium
Researchers spend a great deal of time reading research papers.
General Literature
RNeXML: a package for reading and writing richly annotated phylogenetic, character, and trait data in R
NeXML is a powerful and extensible exchange standard recently proposed to better meet the expanding needs for phylogenetic data and metadata sharing.
Quantitative Methods
An introduction to Docker for reproducible research, with examples from the R environment
As computational work becomes more and more integral to many aspects of scientific research, computational reproducibility has become an issue of increasing importance to computer systems researchers and domain scientists alike.
Software Engineering
