— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Ambient Intelligent (AmI) environments are supposed to act proactively anticipating the user's needs and preferences, therefore the capability of an AmI system to learn those ...
Asier Aztiria, Juan Carlos Augusto, Alberto Izagui...
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Abstract. The nature of the activities that take place in Exploratory Learning Environments allow generating a variety of learner trajectories and makes difficult to develop a mod...
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...