Reinforcement learning in multi-agent systems explores how multiple decision-making entities can learn to interact optimally within a shared environment. Unlike single-agent settings, where a lone ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each ...

A free DigiKey workshop will show engineers how to train a self-balancing robot using reinforcement learning before deploying ...

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 ...

AI agent skill learning gets a structural fix: SkillRise trains a single reinforcement learning policy to both solve tasks ...