Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
New research exposes how prompt injection in AI agent frameworks can lead to remote code execution. Learn how these ...
Abstract: This research introduces a novel approach to enhance cooperation among robots by collaboratively executing Behavior Trees (BTs). A new node, the DelegateActionNode, allows task delegation as ...
Abstract: In this paper we combine Reinforcement Learning (RL), Behavior Trees (BTs), and Control Barrier Functions (CBFs) to create controllers for complex tasks. Pairwise, these tools have been ...
Purdue field day will help small-scale farmers learn and connect The Purdue Small Farm Education Field Day on July 23, co-hosted by the Department of Horticulture and Landscape Architecture and the ...