In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: reinforcement ...

What if our brains learned from rewards not just by averaging them but by considering their full range of possibilities? A ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The idea of reinforcement learning—or learning based on reward—has been around for so long it’s easy to forget we don’t really know how it works. If DeepMind’s new bombshell paper in Nature is any ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more In their decades-long chase to create ...

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.

Recent breakthroughs of artificial intelligence in games such as Go and poker, and advancements in robotics, autonomous cars, manufacturing scheduling are driven by reinforcement learning where an ...