In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
The main ideas behind the implementation of the IALP RoboCup team are discussed: an agent architecture made of a hierarchy of behaviors, which can be combined to obtain different ...
Abstract— This paper discusses the design and current capabilities of a new software tool, dVC, capable of simulating planar systems of bodies experiencing unilateral contacts wi...
Stephen Berard, Jeffrey C. Trinkle, Binh Nguyen, B...
Resource allocation for high-performance real-time applications is challenging due to the applications' data-dependent nature, dynamic changes in their external environment, ...