In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
This paper describes the development of an Adaptive Learning Management System with Support for 3D Collaboration (ALMaS-3D) and presents an evaluation of its main functionalities....
Claudio Kirner, Clodonil H. Trigo, Tereza G. Kirne...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...