Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
Nate Schoemer on MSN

Using the Reinforcement Event to Teach Your Dog New Behaviors

Watch baby burst into giggles as boxer dog gets the zoomies 'Bill & Ted' star Alex Winter says he would not have been okay if he hadn't escaped Hollywood spotlight Tom Bergeron apologizes to Bobby ...

Weibo's new open source AI model VibeThinker-1.5B outperforms DeepSeek-R1 on $7,800 post-training budget

Chinese social networking company Weibo's AI division recently released its open source VibeThinker-1.5B —a 1.5 billion ...

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
Deep Learning with Yacine on MSN

DeepSeek R1 Explained: GRPO, Reinforcement Learning & SFT

Dive into DeepSeek R1 and explore GRPO, reinforcement learning, and supervised fine-tuning (SFT) in an easy-to-understand way ...

The post-training revolution: How reinforcement learning is upending the AI infra stack

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session.  The reinforcement learning market has exploded, with enterprises ...
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
IEEE

Research on LLRF Feedback Control Algorithm Based on Reinforcement Learning

Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
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 ...