OfficeChai

Google DeepMind’s Reinforcement Learning VP David Silver Quits To Launch Own Startup Named “Ineffable Intelligence”

David Silver, who was the VP of Reinforcement Learning at Google DeepMind, has quit to launch his own startup. The startup is named Ineffable Machines and registered in London. Ineffable Machines is ...
InfoQ

Microsoft Adds Custom Copilot Agents for .NET Developers with C# and WinForms Experts

Microsoft and GitHub have expanded the Copilot ecosystem with the first .NET-focused GitHub Copilot custom agents, designed ...
ZDNet

True agentic AI is years away - here's why and how we get there

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
Frontiers

Interactive imitation learning for dexterous robotic manipulation: challenges and perspectives—a survey

AI and Robotics (AIR), Institute of Material Handling and Logistics (IFL), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Dexterous manipulation is a crucial yet highly complex challenge ...
IEEE

Visual Reinforcement Learning with Multi-Objective Representation Alignment

Abstract: Visual reinforcement learning (VRL) aims to learn optimal policies directly from pixel data, which holds significant potential for applications in control systems characterized by data ...
TechCrunch

The reinforcement gap — or why some AI skills improve faster than others

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
MIT Technology Review

Why we should thank pigeons for our AI breakthroughs

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...
IEEE

Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity

Abstract: Visual reinforcement learning (VRL) has demonstrated remarkable capabilities in learning behaviors directly from intricate high-dimensional visual inputs. Despite these advancements, ...
GitHub

visual-reinforcement-learning

This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way ...
marktechpost

DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across Multiple Paradigms and Tasks

Recent advances in generative models, especially diffusion models and rectified flows, have revolutionized visual content creation with enhanced output quality and versatility. Human feedback ...
Forbes

The Autonomous Advantage: Reinforcement Learning’s Role In The Next Era Of AI

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...