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Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Nature

Fault-tolerant formation control of heterogeneous multi-agent systems with unknown inputs and external disturbances

This paper displays an optimal fault-tolerant formation control method, which is applied to a heterogeneous multi-agent system(HMAS) consisting of multiple uncrewed ...
Nature

A traffic light control method based on multi-agent deep reinforcement learning algorithm

Intelligent traffic light control (ITLC) algorithms are very efficient for relieving traffic congestion. Recently, many decentralized multi-agent traffic light control algorithms are proposed. These ...
Forbes

The Promise of Multi-Agent AI

I recently spoke with Chi Wang, a principal researcher at Microsoft and the creator of AutoGen, about the immense potential of multi-agent AI. Agents have been a cornerstone of human-computer ...
VentureBeat

AWS brings multi-agent orchestration to Bedrock

AWS is doubling down on AI agents with the announcement of multiagent capabilities on its Amazon Bedrock platform. During his keynote at the AWS re:Invent conference, AWS CEO Matt Garman said ...
InfoWorld

Multi-agent AI workflows: The next evolution of AI coding

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
InfoWorld

How multi-agent collaboration is redefining real-world problem solving

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...