Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Introduction Obesity and its downstream non-communicable diseases (NCDs) are the greatest health challenges of the 21st century, even in low-income and middle-income countries such as India. As ...

This valuable computational study presents a conceptually simple and biologically plausible reinforcement-learning framework for motor learning based on policy-gradient methods. The evidence ...

Prefer Newsweek on Google to see more of our trusted coverage when you search. TikTok has reached a deal that will allow it to keep operating in the United States, with a majority American-owned joint ...

Billionaire entrepreneur Mark Cuban cautioned that social media algorithms, rather than candidates' policies or personalities, could have the greatest influence on voter behavior in the upcoming 2026 ...

Motivated by "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. In this project: Implement three state-of-art continous deep ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

Abstract: Recent developments in cyber-physical systems have increased the importance of maximizing the freshness of the information about the physical environment. However, optimizing the access ...