The two-time scale nature of SAC, which is an actor-critic algorithm, is...
Autonomous vehicles (AVs) must share the driving space with other driver...
We propose Deterministic Sequencing of Exploration and Exploitation (DSE...
We study optimal fidelity selection for a human operator servicing a que...
Explaining the behavior of black box machine learning models through hum...
Code clones are duplicate code fragments that share (nearly) similar syn...
Static program analysis tools are often required to work with only a sma...
Training a classification model on a dataset where the instances of one ...
Deep neural networks (DNNs) are powerful learning machines that have ena...
Automated vehicles' neural networks suffer from overfit, poor
generaliza...
We present ShapeVis, a scalable visualization technique for point cloud ...
As deep reinforcement learning (RL) is applied to more tasks, there is a...
Explaining the behavior of a black box machine learning model at the ins...