Abstract Deep Neural Network (DNN) models for both resource-rich environments and
resource-constrained devices have become abundant in recent years. As of now, the …

Abstract Despite advances in Reinforcement Learning, many sequential decision making
tasks remain prohibitively expensive and impractical to learn. Recently, approaches that …

Despite recent advances in Reinforcement Learning (RL), many problems, especially real-
world tasks, remain prohibitively expensive to learn. To address this issue, several lines of …

Reinforcement Learning (RL) has made significant strides in enabling artificial agents to
learn diverse behaviors. However, learning an effective policy often requires a large number …

In recent years, cooperative communication (CC) technology has emerged as a hotspot for
testing wireless communication networks (WCNs), and it will play an important role in the …

The field of Go game research is hampered by the absence of records and analytical tools.
In recent years, the increasing number of professional competitions and the advent of …

Objetivo: Evaluar los elementos necesarios para la producción de un material educativo
digital (MED) inédito, mediante su implementación en estudiantes. Métodos: Se realizó un …

AI is an irreplaceable human resources technological tool in the era of new technologies. AI
allows recruiters to face tense talent shortages and resignation peril. AI benefits include …

Lee Sedol is on a winning streak–does this legend rise again after the competition with
AlphaGo? Ke Jie is invincible in the world championship–can he still win the title this time …

The game of Go has been highly under-researched due to the lack of game records and
analysis tools. In recent years, the increasing number of professional competitions and the …