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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 8 days ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
EDUTAINMENT
2006
Springer
13 years 11 months ago
Haptic Puppetry for Interactive Games
In interactive computer games and computer animation, intuitively controlling the motion of an articulated character is considered as a difficult task. One of the reasons is that, ...
Sujeong Kim, Xinyu Zhang, Young J. Kim
EWLR
1997
Springer
13 years 11 months ago
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
Wei-Po Lee, John Hallam, Henrik Hautop Lund
ICML
2003
IEEE
14 years 8 months ago
Goal-directed Learning to Fly
Learning to fly an aircraft is a complex task that requires the development of control skills and goal achievement strategies. This paper presents a behavioural cloning system tha...
Andrew Isaac, Claude Sammut
ML
1998
ACM
220views Machine Learning» more  ML 1998»
13 years 7 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser