Our paper titled “Context-Aware Inefficiency of Self-Interested Agents in UAV Wildfire Fighting” was accepted to the AIAA Journal of Information Systems! This work proposes a state-dependent price of anarchy metric for measuring the inefficiency of self-interested agents and applies that metric to study potential inefficiencies in wildfire fighting with teams of unmanned aerial vehicles. The work was led by Niket Parikh.

Our paper titled “A Survey of Inverse Reinforcement Learning in Aviation and Future Outlooks” was also accepted to the AIAA Journal of Information Systems! We survey algorithms for inverse reinforcement learning (IRL), their current use for aviation problems, and potential future applications in aviation. The work was led by Rupal Nigam.