4 citations · 4 across the 2 of their papers we have counts for
3 papers
Understanding and Estimating Domain Complexity Across Domains
Katarina Doctor, Mayank Kejriwal, Lawrence Holder +5
Artificial Intelligence (AI) systems, trained in controlled environments, often struggle in real-world complexities. We propose a general framework for estimating domain complexity…
A Framework for Characterizing Novel Environment Transformations in General Environments
Matthew Molineaux, Dustin Dannenhauer, Eric Kildebeck
To be robust to surprising developments, an intelligent agent must be able to respond to many different types of unexpected change in the world. To date, there are no general frame…
Toward Defining a Domain Complexity Measure Across Domains
Katarina Doctor, Christine Task, Eric Kildebeck +3
Artificial Intelligence (AI) systems planned for deployment in real-world applications frequently are researched and developed in closed simulation environments where all variables…