New Quantum-as-a-Service platform helps entrepreneurs analyze complex tax, investment, and financial decisions faster ...

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is ...

In this podcast, Motley Fool contributor Rachel Warren talks with innovation consultant Lorraine Marchand, author of No Fear, No Failure, about the "five Cs" of innovation and how investors can ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Abstract: In this paper, we propose a reinforcement learning based algorithm for rate-profile construction of Arikan’s Polarization Adjusted Convolutional (PAC) codes. This method can be used for any ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

This important study uses reinforcement learning to study how turbulent odor stimuli should be processed to yield successful navigation. The authors find that there is an optimal memory length over ...

Abstract: We study the Whittle index learning algorithm with Q-Iearning for restless multi-armed bandits. We first discuss Q-learning algorithm with exploration policies-E-greedy, softmax, e-softmax ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...