5 citations · 5 across the 6 of their papers we have counts for
6 papers
Prescribed-Time Distributed Generalized Nash Equilibrium Seeking
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Safety-critical multi-agent systems, from cooperative guidance to collision avoidance, must often reach a coordinated decision by a hard deadline rather than merely converge to one…
Saddle Point Evasion via Curvature-Regularized Gradient Dynamics
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Nonconvex optimization underlies many modern machine learning and control tasks, where saddle points pose the dominant obstacle to reliable convergence in high-dimensional settings…
Scaling and Trade-offs in Multi-agent Autonomous Systems
Abram H. Clark, Liraz Mudrik, Colton Kawamura +3
Designing autonomous drone swarms is hampered by a vast design space spanning platform, algorithmic, and numerical-strength choices. We perform large-scale agent-based simulations…
Optimization via a Control-Centric Framework
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Optimization plays a central role in intelligent systems and cyber-physical technologies, where speed and reliability of convergence directly impact performance. In control theory,…
Swarm Characteristics Classification Using Neural Networks
Donald W. Peltier, Isaac Kaminer, Abram Clark +1
Understanding the characteristics of swarming autonomous agents is critical for defense and security applications. This article presents a study on using supervised neural network…
Defense Against Adversarial Swarms with Parameter Uncertainty
Claire Walton, Isaac Kaminer, Qi Gong +2
This paper addresses the problem of optimal defense of a High Value Unit against a large-scale swarm attack. We show that the problem can be cast in the framework of uncertain para…