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

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

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...

In a paper published in the journal Applied Sciences, researchers proposed a novel deep reinforcement learning (DRL ... and a deep Q-network (DQN) agent to learn optimal review intervals.

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 ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. © 2025 TIME USA, LLC. All Rights ...