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

Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...

The digital era has witnessed unprecedented technological advancements, with artificial intelligence emerging as one of the ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

Artificial Intelligence (AI) is reshaping the landscape of observability in distributed systems. Abhishek Walia, explores how AI-driven observability solutions enhance monitoring, management, and ...

In a paper published in the journal Applied Sciences, researchers proposed a novel deep reinforcement learning (DRL ... framework consists of three main components: the transformer-based half ...

Employing an analysis powered by an artificial intelligence (AI) technique known as reinforcement learning, researchers modeled the process of making decisions on preserving coastal infrastructure ...