A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

The National Intellectual Property Administration recently disclosed that Zhengzhou University and JD Technology Information Technology Co., Ltd. jointly applied for a patent titled "A Mobile Robot ...

Recently, researchers proposed a reinforcement learning-based initialization strategy that successfully overcomes the common 'desert plateau' problem in Variational Quantum Algorithms (VQA). This ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...