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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 11 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
IJCNN
2006
IEEE
15 years 10 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
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 9 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
IADIS
2004
15 years 6 months ago
Connect: Designing the Classroom of Tomorrow by Using Advanced Technologies to Connect Formal and Informal Learning Environments
The main objective of the CONNECT project is to develop an innovative pedagogical framework that attempts to blend formal and informal learning, proposing an educational reform to ...
Sofoklis Sotiriou, Eleni Chatzichristou, Stavros S...
IADIS
2004
15 years 6 months ago
Modes of Delivery and Learning Objectives
The purpose of the study was to determine public university South Dakota (USA) distance faculty perceptions regarding intended level of learning objectives for four selected modes...
Jack Fei Yang