Abstract: Deep reinforcement learning (DRL) recently has attained remarkable results in various domains, including games, robotics, and recommender system. Nevertheless, an urgent problem in the ...

Abstract: Gradient-based method has been extensively used in today's multiagent reinforcement learning (MARL). In a gradient-based MARL algorithm, each agent updates its parameterized strategy in the ...

Is your teenager thinking about taking a Spanish or French class? Tell them there's a hidden benefit to picking up another ...

"We should support language learning at school and throughout life, even if it’s hard." ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Learning foreign languages may be associated with slower brain aging. People who speak several languages, in the framework of ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...