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ATAL
2009
Springer
16 years 1 months ago
Learning of coordination: exploiting sparse interactions in multiagent systems
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Francisco S. Melo, Manuela M. Veloso
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
16 years 1 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
ICALT
2007
IEEE
16 years 1 months ago
Impact of Process Goal and Outcome Goal on Learning Performance for Web-based Learners
The purpose of this research is to develop a webbased learning environment where teachers can provide subject content using SCORM Simple Sequence Specification (SSS) mechanism wit...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Feng-Hsie...
AIHC
2007
Springer
16 years 1 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
IJCNN
2006
IEEE
16 years 1 months ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal