A new technical paper titled “Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration” was published by researchers at Harvard University and Google research groups.

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

Note: This article is the second in a two-part series. Click here to read Part 1: Why Multi-Agent Systems Outperform Traditional Automation.Why Multi-Agent Autonomy Requires a New Approach to ...