Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Abstract. In this paper, we propose a framework based on a subsymbolic approach for the support of exploratory activities in a hyperspace. By using it, it is possible to express th...
Mizue Kayama, Toshio Okamoto, Alexandra I. Cristea
A Multi-linked negotiation problem occurs when an agent needs to negotiate with multiple other agents about different subjects (tasks, conflicts, or resource requirements), and th...
Most model based rate control solutions have the generally questionable assumption that video sequence is stationary, and also suffer from the fundamental problems of model parame...
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...