Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Over the last decade and a half, reinforcement learning models have fostered an increasingly sophisticated understanding of the functions of dopamine and cortico-basal ganglia-thalamo-cortical (CBGTC) ...
Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Supervised learning is a more commonly used form of machine learning than ...