Robots have been successfully used to perform tasks with high precision....
Learning to solve long horizon temporally extended tasks with reinforcem...
Keyword Spotting nowadays is an integral part of speech-oriented user
in...
Reinforcement Learning (RL) agents can learn to solve complex sequential...
Reinforcement learning has been successful in many tasks ranging from ro...
Pulmonary diseases impact millions of lives globally and annually. The r...
In this paper, we propose a novel solution to reduce the computational
c...
In this paper, we propose Code-Bridged Classifier (CBC), a framework for...
In this paper, we present a method for learning from video demonstration...
In autonomous embedded systems, it is often vital to reduce the amount o...
Recent progress in AI and Reinforcement learning has shown great success...
Ubiquitous bio-sensing for personalized health monitoring is slowly beco...
We explore the use of neural networks trained with dropout in predicting...