Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Abstract. We present and evaluate in this paper a multi-agent approach for range image segmentation. The approach consists in using autonomous agents for the segmentation of a rang...
Several high-level programming languages for programming agents and robots have been proposed in recent years. Each of these languages has its own features and merits. It is still...
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation. This approach involves 1) the use of CBR for evaluating the arguments submitt...