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

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 ...

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

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and ...

In today's modern world, Artificial Intelligence (AI) is revolutionizing the automotive industry, particularly in the realms ...

Researchers investigate reinforcement learning for climate adaptation, demonstrating its effectiveness in optimizing coastal flood protection strategies in NYC.

A recent study in Engineering presents LearningEMS, a unified framework and open-source benchmark for electric vehicle (EV) ...

Forget vague ideals. See how Bloom and Skinner help educators measure learning through observable behaviors, practical ...

DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.