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 ...
The 74

Google DeepMind’s Learnings in Developing an AI Tutor

Class Disrupted guest Irina Jurenka on large language models in education: ‘The stakes are so much higher in learning than in ...
IEEE

A Tuning Friendly Deep Reinforcement Learning Method for Inverter-Based Volt/Var Control

Abstract: Deep reinforcement learning (DRL) methods have been applied to power system problems in active distribution networks, including the inverter-based volt/var control (VVC). However, existing ...
Scientific Research Publishing

A Study on the Impact of New Media on College Students’ Oral English Learning

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...
IEEE

Deep Reinforcement Learning-Assisted Robust Cubature Kalman Filter for Power System Dynamic State Estimation With Multi-Rate Measurements

Abstract: The coexistence of high-frequency phasor measurement units (PMUs) and conventional SCADA systems raises the challenge of heterogenous-source and multi-rate measurements which significantly ...