Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

ADELPHI, Md. — Army scientists developed an innovative method for evaluating the learned behavior of black-box Multi-Agent Reinforcement Learning, known as MARL, agents performing a pursuit-evasion ...

The overall relationship between the attacker and the ego system. The black solid arrows indicate the direction of data flow, the red solid ones indicate the direction of gradient flow and the red ...

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 ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...

As interest in artificial intelligence continues to grow, several researchers and universities have made high-quality AI and machine learning books freely available online. These resources allow ...

Scientists are now using evolutionary biology to boost cooperation in AI. A recent study shows artificial agents learn to work together better by sharing rewards, much like how animals help relatives.