This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
To create realistic and expressive virtual humans, we need to develop better models of the processes and dynamics of human emotions and expressions. A first step in this effort is...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Using a new exact synthesizer that automatically induces minimal universal boolean function libraries, we introduce two indicators for comparing their expressiveness: the first ba...
Inverse document frequency (IDF) is one of the most useful and widely used concepts in information retrieval. There have been various attempts to provide theoretical justification...