The presence of new requirements such as high reliability zero packet loss and real-time interaction posed by data-intensive applications eg augmented/virtual reality industrial 40 or healthcare exacerbates the need for more performant scalable resilient and self-adapting networks To support such applications there is a need to rethink the design of both networks and applications creating more intelligent and autonomous networks While AI/ML technologies continue to evolve at a rapid pace moving from a paradigm of supervised learning towards distributed self-learning requires solving several challenges in the design and deployment of wide-scale networks Among those challenges this project plans to tackle:<br/> 1 scalability and sustainability of AI/ML models for network management;<br/> 2 robustness of learning solutions in practical deployments<br/> We plan to use existing NSF-funded large-scale virtual network testbeds and to solve such network management pro