Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea ...

The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with ...

AI agents can be found in a variety of industries, including healthcare, finance, manufacturing, customer service, and ...

AI agents develop their own communication channels beyond our monitoring frameworks, we face a pivotal challenge: harnessing ...