In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
The Python programming language is typical among dynamic languages in that programs written in it are not susceptible to static analysis. This makes efficient static program compi...
Multi-agent systems where the members are developed by parties with competing interests, and where there is no access to a member’s internal state, are often classified as ‘o...
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...