28 citations · 31 across the 8 of their papers we have counts for
3 papers · 1 filter
Dynamic Adversarial Resource Allocation: the dDAB Game
Yue Guan, Daigo Shishika, Jason R. Marden +3
This work introduces the dynamic Defender-Attacker Blotto (dDAB) game, extending the classical static Blotto game to a dynamic resource allocation setting over graphs. In the dDAB…
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense
Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1
In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximiz…
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks
Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1
We consider the problem of finding decentralized strategies for multi-agent perimeter defense games. In this work, we design a graph neural network-based learning framework to lear…