-
position focuses on fundamental research in learning-based planning and control of interacting autonomous agents under uncertainty. You will develop new theoretical and algorithmic approaches for distributed
-
establishment, matching, and routing problems on the network graphs using both classical graph theory and AI methods such as graph neural networks (GNNs). You will also develop distribution-free methods
Enter an email to receive alerts for parallel-and-distributed-computing "DIFFER" positions