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...
There is a lot of confusion on what the environment of a multi-agent system (MAS) comprises. Sometimes, researchers refer to the environment as the logical entity of a MAS in which...
In this paper, we introduce an interdisciplinary project, involving researchers from the fields of Physical Therapy, Computer Science, Psychology, Communication and Cell Neurobiol...
Shih-Ching Yeh, Albert A. Rizzo, Weirong Zhu, Jill...
Abstract. The intent of this position paper is to present the focus of interest of our end-user development (EUD) related research at SAP Research CEC Darmstadt, enabling other par...
Temporal Action Logics (TAL) is a class of temporal logics for reasoning about actions. We present a reformulation of TAL in Answer Set Programming (ASP), and discuss some synergi...