Barto and Sutton's foundational work, vision and advocacy have helped reinforcement learning grow. Their work has inspired a ...

The researchers suggest that sim-to-real reinforcement learning could be used to train robots in real-world environments such as the home, office or factory floor. The idea, they note, is to make ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

This case stand out for its dexterous hand hardware that serves as the vehicle for effectively conducting physical work, ...

In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.

In the fast-paced world of online transactions, fraud prevention is a critical challenge for businesses. As fraud tactics ...

Here’s how to put it into practice Real-world and contextualised learning, two related and overlapping approaches, can significantly enhance students’ educational experiences and prepare them for ...