Dylan Slack

How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations.

2020 · arXiv (Cornell University)

As local explanations of black box models are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, local explanations generated …

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition

2022 · arXiv (Cornell University)

Methods that extract policy primitives from offline demonstrations using deep generative models have shown promise at accelerating reinforcement learning(RL) for new tasks. Intuitively, these methods should also help to trainsafeRLagents because they enforce useful skills. …