Ad Hoc Teamwork in the Presence of Adversaries
Ted Fujimoto · Samrat Chatterjee · Auroop R Ganguly
2022 Blue Sky Idea
in
Workshop: New Frontiers in Adversarial Machine Learning
in
Workshop: New Frontiers in Adversarial Machine Learning
Abstract
Advances in ad hoc teamwork have the potential to create agents that collaborate robustly in real-world applications. Agents deployed in the real world, however, are vulnerable to adversaries with the intent to subvert them. There has been little research in ad hoc teamwork that assumes the presence of adversaries. We explain the importance of extending ad hoc teamwork to include the presence of adversaries and clarify why this problem is difficult. We then propose some directions for new research opportunities in ad hoc teamwork that leads to more robust multi-agent cyber-physical infrastructure systems.
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