We introduce the Blackwell discount factor for Markov Decision Processes (MDPs). Classical
objectives for MDPs include discounted, average, and Blackwell optimality. Many existing …

Soccer players need to make many decisions throughout a match in order to maximize their
team's chances of winning. Unfortunately, these decisions are challenging to measure and …

With the advent of Industry 4.0, the demand of high computing power for tasks such as data
mining, 3D rendering, file conversion and cryptography is continuously growing. To this …

Soccer players need to make many decisions throughout a match in order to maximize their
team's chances of winning. Unfortunately, these decisions are challenging to measure and …

This paper addresses a new machine learning‐based behavioral strategy using the deep Q‐
learning algorithm for the RoboCode simulation platform. According to this strategy, a new …

Startup companies operate in an unpredictable and unstable business environment. They​
have the potential to grow through optimal decision-making► Or a suboptimal decision …

This thesis proposes a MBB adopted handover mechanism, namely, pre-connect handover
(PHO). PHO aims to provide a seamless and reliable handover for 5G networks. PHO …

Discounting can be viewed as a perturbation to improve the ergodicity of the Markov chain
by imposing more regular regenerations. It can improve the estimation efficiency in Markov …

Research Article A Novel Behavioral Strategy for RoboCode Platform Based on Deep Q-Learning
Page 1 Research Article A Novel Behavioral Strategy for RoboCode Platform Based on Deep …

Since China's entry into the World Trade Organization at the end of 2001, China's luxury
consumer market has developed rapidly, and international luxury brands have entered the …