Garrett of Southwest Research Institute (SwRI)

Mastering effective collaboration within a team poses a formidable challenge for both human and artificial intelligence entities alike. Striking a harmonious balance between individual objectives and collective goals becomes a pivotal factor in determining the success of all stakeholders involved. This presentation delves into the realm of collaborative teamwork through the lens of multiagent reinforcement learning within the intricate framework of the StarCraft II environment.

The presentation will encompass strategies for mitigating unintended consequences, commonly referred to as specification gaming, and elucidate how teams of AI agents can leverage insights from other artificial intelligence entities to enhance their overall performance. The presentation will further provide an in-depth exploration of the QMIX algorithm, offering a comprehensive understanding of its application in the context of the StarCraft II environment.

Biography:

Garrett Hall resides in San Antonio, Texas where he works as a Research Engineer at Southwest Research Institute (SwRI). He holds a BS and MS in Electrical Engineering from The University of Texas at San Antonio (UTSA). During his time at UTSA, he published deep learning research in brain-computer interfacing, adversarial examples, and multiagent reinforcement learning. At SwRI, he has served as the principal investigator for multiple internal research programs and serves as a machine learning expert for various projects.

Mr. Hall’s current mentorship interests are in serving student members and entry-level engineers. His areas of expertise are artificial intelligence, research, and developing societies.