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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
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