In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
— This paper bridges the advances in computer science and control to allow automatic synthesis of control strategies for complex dynamical systems which are guaranteed, by constr...
Tichakorn Wongpiromsarn, Ufuk Topcu, R. Richard Mu...
Experiment design and execution is a central activity in the natural sciences. The SeqERsystem provides a general architecture for the integration of automated planning techniques...
Abstract. In this paper we present a mixed-initiative planning approach to humanrobot interaction in a rescue domain. We deploy a model-based executive monitoring system to coordin...