Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
This report will present a collection of tools that supports the precise definition, careful analysis, and execution of processes that coordinate the actions of humans, automated d...
Leon J. Osterweil, Lori A. Clarke, George S. Avrun...
Most of the current WWW is made up of dynamic pages. The development of dynamic pages is a difficult and costly endeavour, out-of-reach for most users, experts, and content produce...
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
Our research on Interactive Drama aims at conciliating interaction and story at the deepest level, the level of action. From a given story representation formalism, a set of eleme...