Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Using artificial intelligence to engineer materials’ properties

3Q: Machine learning and climate modeling

Explaining Explanations in AI

The Disparate Effects of Strategic Manipulation

Fairness and Abstraction in Sociotechnical Systems

A Bound on the Label Complexity of Agnostic Active Learning

Pegasos: Primal estimated sub-gradient solver for SVM