Databricks built a RAG agent it says can handle every kind of enterprise search

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

What I learned using Claude Sonnet to migrate Python to Rust

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
IEEE

Optimization of Joint Bidding Strategies in Integrated Electricity and Carbon Markets Using Multi-Agent Reinforcement Learning

Abstract: Under the guidance of the “dual carbon” strategic goal, the integration of the electricity and carbon markets is accelerating. Joint bidding strategies of market participants in this ...