IEEE

Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions

Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...
IEEE

Differentially Private Nash Equilibrium Seeking in Quadratic Network Games

Abstract: In this article, we develop distributed computation algorithms for Nash equilibriums of linear–quadratic network games with proven differential privacy guarantees. In a network game with ...
Scientific Research Publishing

Chu, M. and Lin, W.W. (2009) Quadratic Model Updating with Symmetry, Positive Definiteness, and No Spill-Over. SIAM Journal on Matrix Analysis and Applications, 31, 546-564.

ABSTRACT: In this paper, we consider the model updating problem of the undamped vibroacoustic system with no spill-over (MUP-UVA), which is to update the original system to a new system such that some ...
GitHub

Support for native Azure Functions deployment in .NET Aspire (serverless model, not only ACA)

Is your feature request related to a problem? Please describe the problem. I am trying to use Azure Functions together with .NET Aspire for orchestration and deployment. Currently, Azure Functions ...