Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...

DAEJEON, South Korea (January 26, 2026) – Qunova Computing, a developer of software applications designed with the goal of bringing quantum advantage to the chemical, pharmaceutical and industrial ...

Abstract: In this article, a novel accelerated evolution-guided Q-learning (EGQL) algorithm is introduced to address optimal control problems for unknown nonlinear systems. A novel adaptive ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

ORLANDO, Fla. — A recent report by Global Witness alleges that TikTok guides its younger users toward sexually explicit material via its search suggestions. The report emphasizes that TikTok’s search ...

Please provide your email address to receive an email when new articles are posted on . Researchers have developed an automated algorithm that can calculate a patient’s virtual echocardiography ...

Crypto thrives on cutting-edge technology, but quantum computing could challenge the cryptographic foundations that keep Bitcoin secure. As quantum advancements accelerate, concerns about risks to ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...