A new paper published 6 July in Intelligent Computing presents the primary challenges of reinforcement learning for intelligent decision-making in complex and dynamic environments. Reinforcement ...

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Andrew Barto and Richard Sutton developed reinforcement learning, a technique vital to chatbots like ChatGPT. By Cade Metz Reporting from San Francisco In 1977, Andrew Barto, as a researcher at the ...

After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world. The Quanta Newsletter ...

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 ...

What if the most profound leap toward Artificial General Intelligence (AGI) wasn’t a headline-grabbing announcement, but a quiet breakthrough flying under the radar? Enter Grok 5, a development that ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...