Serverless computing has sparked a massive interest in both the cloud service providers
and their clientele in recent years. This model entails the shift of the entire matter of resource …

Abstract Deep Q-Networks algorithm (DQN) was the first reinforcement learning algorithm
using deep neural network to successfully surpass human level performance in a number of …

A major challenge in deep reinforcement learning is that it requires more data to converge to
an policy for complex problems. One way to improve sample efficiency is to use n-step …

We uncover a surprising phenomenon in deep reinforcement learning: training a diverse
ensemble of data-sharing agents--a well-established exploration strategy--can significantly …

Serverless computing is gaining momentum as the latest cloud deployment model for
applications, with many major global companies shifting towards a complete adoption of this …