Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination

no code implementations • 17 Mar 2022 • Derrik E. Asher, Anjon Basak, Rolando Fernandez, Piyush K. Sharma, Erin G. Zaroukian, Christopher D. Hsu, Michael R. Dorothy, Thomas Mahre, Gerardo Galindo, Luke Frerichs, John Rogers, John Fossaceca

Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provide windows of opportunity in various military tasks.

reinforcement-learning Reinforcement Learning (RL)