Much previous work has examined the wireless power control problem using tools from game theory, an economic concept which describes the behavior of interdependent but non-coopera...
Simulation-based training is increasingly being used within the military to practice and develop the skills of successful soldiers. For the skills associated with successful milit...
Andrew Gordon, Michael van Lent, Martin Van Velsen...
This paper addresses the problem of activity recognition for physically-embodied agent teams. We define team activity recognition as the process of identifying team behaviors from...
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...