The Information

Everyone Wants To Be a Reinforcement Learning Startup

These days, artificial intelligence developers, investors and founders are all obsessed with “reinforcement learning,” a ...
Physics World

The pros and cons of reinforcement learning in physical science

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...
Time

Reinforcement Learning

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...
VentureBeat

What is reinforcement learning? How AI trains itself

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Machine learning (ML) might be considered ...
Yahoo Finance

CoreWeave to Acquire OpenPipe, Leader in Reinforcement Learning

LIVINGSTON, N.J. & BELLEVUE, Wash., September 03, 2025--(BUSINESS WIRE)--CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a leading ...
The Conversation

What is reinforcement learning? An AI researcher explains a key method of teaching machines – and how it relates to training your dog

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...
International Monetary Fund

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...
TechCrunch

Deep reinforcement learning will transform manufacturing as we know it

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...