5 citations · 5 across the 2 of their papers we have counts for
3 papers
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte +3
Human beings, even small children, quickly become adept at figuring out how to use applications on their mobile devices. Learning to use a new app is often achieved via trial-and-e…
VASTA: A Vision and Language-assisted Smartphone Task Automation System
Alborz Rezazadeh Sereshkeh, Gary Leung, Krish Perumal +4
We present VASTA, a novel vision and language-assisted Programming By Demonstration (PBD) system for smartphone task automation. Development of a robust PBD automation system requi…
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs
Tim Capes, Vishal Raheja, Mete Kemertas +1
There is a general trend towards solving problems suited to deep learning with more complex deep learning architectures trained on larger training sets. This requires longer comput…