Abstract. The challenge of making a virtual world believable includes a requirement for AI entities which autonomously react to a dynamic environment. After the breakthroughs in be...
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
We study protocols to enable one user (the principal) to make potentially profitable but risky interactions with another user (the agent), in the absence of direct trust between ...
We consider the case of sparse mobile sensors deployed to implement missions in challenging environments. This paper explores a notion of tour networks that is well suited to circ...
—Sensor networks represent a new frontier in technology that holds the promise of unprecedented levels of autonomy in the execution of complex dynamic missions by harnessing the ...