10 citations · 32 across the 22 of their papers we have counts for
3 papers · 1 filter
Continuous Meta-Learning without Tasks
James Harrison, Apoorva Sharma, Chelsea Finn +1
Meta-learning is a promising strategy for learning to efficiently learn within new tasks, using data gathered from a distribution of tasks. However, the meta-learning literature th…
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
Sandeep Chinchali, Apoorva Sharma, James Harrison +6
Today's robotic systems are increasingly turning to computationally expensive models such as deep neural networks (DNNs) for tasks like localization, perception, planning, and obje…
Robust and Adaptive Planning under Model Uncertainty
Apoorva Sharma, James Harrison, Matthew Tsao +1
Planning under model uncertainty is a fundamental problem across many applications of decision making and learning. In this paper, we propose the Robust Adaptive Monte Carlo Planni…