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.

AgiBot Makes History: First Robot to Learn Directly on the Factory Floor

AgiBot builds world’s first real-world deployment of reinforcement learning in industrial robotics, bringing self-learning AI to manufacturing ...
Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
TMCnet

AgiBot Achieves First Real-World Deployment of Reinforcement Learning in Industrial Robotics

SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...

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

AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the industry behind.

New AI framework to reduce time, cost to develop drugs

Chennai: Researchers from IIT Madras' Wadhwani School of Data Science and Artificial Intelligence (WSAI) and Ohio State ...

Redefining Robotics and AI: Karthikeya S Parunandi’s Role

Karthikeya S Parunandi’s career began far from the laboratories where he now architects the core algorithms behind advanced ...

Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks at trillion scale

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.
Communications of the ACM

Shields for Safe Reinforcement Learning

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

This Startup Wants to Spark a US DeepSeek Moment

With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning.