Communication among agents collaborating on a task often involves complex utterances about multiple actions. In this paper, we analyze two particular multiaction constructions, ut...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
The popular bag-of-words paradigm for action recognition tasks is based on building histograms of quantized features, typically at the cost of discarding all information about rela...
A system that could automatically analyze the facial actions in real time have applications in a number of different fields. However, developing such a system is always a challeng...