Q-learning Unlocking Robust AI: A Switching System Approach to Q-Learning with Linear Function Approximation Explore a novel theory for Q-learning with Linear Function Approximation, interpreting its dynamics through switching systems and the Joint Spectral Radius to ensure AI stability and convergence in complex enterprise applications.
Agentic AI Advancing Cyber Defense: Stable Agentic AI with Tool-Mediated LLM Architecture Explore how a tool-mediated LLM architecture provides formally verified stability for autonomous cyber defense, ensuring robust EDR policy optimization against adaptive AI adversaries.
graph neural networks Enhancing Graph Neural Network Robustness: A Breakthrough in Stable AI Generalization Discover how STEM-GNN addresses the "impossible triangle" of GNN deployment, achieving robust generalization and stability through advanced AI techniques for diverse real-world applications.
