In this tutorial, we build a human-in-the-loop travel booking agent that treats the user as a teammate rather than a passive observer. We design the system so the agent first reasons openly by ...

This is the code repository for the paper "Graph Attention-Guided Search for Dense Multi-Agent Pathfinding" introducing LaGAT. LaGAT combines a neural policy heuristic, an enhanced MAGAT+ model, with ...

For Judah Davis, college football is an entirely different world from the one he played in. Now, he’s on the other side of things, working as an agent in a sport dominated by NIL and the transfer ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

Biological control agents (or biocontrols) are a large part of the modern grower’s integrated pest management (IPM) portfolio. However, it can often be difficult to properly assess the effectiveness ...

Abstract: In numerous artificial intelligence applications, the collaborative efforts of multiple intelligent agents are imperative for the successful attainment of target objectives. To enhance ...

The Army is creating a dedicated artificial intelligence and machine-learning career field for officers as it pushes to integrate AI more deeply into its operations. The new 49B specialty establishes ...

Logan County Commissioners expressed some reluctance Tuesday about the county possibly serving as the fiscal agent for a grant that Clear Path Recovery plans to seek as it works to open an addiction ...

How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...

As we move deeper into the 21st century, the education landscape continues to evolve, driven by technological advancements and a growing understanding of individual learning needs. Personalized ...