Valerie Chen

Task-Aware Novelty Detection for Visual-based Deep Learning in Autonomous Systems

2020

Deep-learning driven safety-critical autonomous systems, such as self-driving cars, must be able to detect situations where its trained model is not able to make a trustworthy prediction. This ability to determine the novelty of a …

Ask Your Humans: Using Human Instructions to Improve Generalization in\n Reinforcement Learning

2020 · arXiv (Cornell University)

Complex, multi-task problems have proven to be difficult to solve efficiently\nin a sparse-reward reinforcement learning setting. In order to be sample\nefficient, multi-task learning requires reuse and sharing of low-level\npolicies. To facilitate the automatic decomposition of …