Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hundreds of millions of years of evolution have produced a variety of ...

Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Hundreds of millions of years of evolution have blessed our ...

The near-term feasibility of self-driving cars depends on the limits of current machine learning approaches. This article is about using reinforcement learning to solve path planning and driving ...

Reinforcement learning is a fundamental process by which organisms learn to achieve goals from their interactions with the environment. We use Evolutionary Computation techniques to derive ...

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, ...

Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by ...