How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
IEEE

Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network

Abstract: The operation and control of active distribution networks (ADNs) are becoming increasingly important due to the high penetration of renewable energy (RE). The inherent uncertainty of RE can ...
Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
IEEE

A Spatiotemporal Graph Neural Network Based Deep Reinforcement Learning Method for Online Distributed Job-Shop Scheduling Problem

Abstract: The distributed shop scheduling problem is a hotspot in the shop scheduling field. Online scheduling requires making prompt decisions in response to environmental changes during ongoing ...