Keith Anderson

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

2018 · arXiv (Cornell University)

This paper addresses the problem of evaluating learning systems in safety critical domains such as autonomous driving, where failures can have catastrophic consequences. We focus on two problems: searching for scenarios when learned agents fail …

Using Unity to Help Solve Intelligence

2020 · arXiv (Cornell University)

In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments. Existing platforms for constructing such environments are typically constrained …