USPTO published a patent application for AI agent control methods using ambiguity-sensitive and risk-sensitive neural networks. Application US20260087311A1 covers computer-implemented methods and systems for controlling agents through action selection systems that incorporate risk sensitivity and ambiguity sensitivity. The invention relates to CPC classifications G06N 3/045 and G06N 3/08, involving neural network architectures for decision-making under uncertainty.

This is a patent application publication, not a final granted patent or regulatory rule. Technology companies developing AI agents, autonomous systems, or neural network-based decision systems should note this application for prior art monitoring and competitive intelligence purposes. No compliance actions or deadlines are associated with this publication. Companies should continue standard IP portfolio management practices.