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» Learning to Control in Operational Space
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143
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COR
2008
142views more  COR 2008»
15 years 3 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel
136
Voted
IEEEVAST
2010
14 years 10 months ago
DimStiller: Workflows for dimensional analysis and reduction
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
136
Voted
CGIM
2003
15 years 5 months ago
Modeling an Infinite Emotion Space for Expressionistic Cartoon Face Animation
Inspired by traditional expressive animation, we attempt to propose an infinite emotion-space as a model to control free-form facial expression synthesis. Although a number of mod...
Prashant Chopra, Joerg Meyer
126
Voted
ICRA
2009
IEEE
161views Robotics» more  ICRA 2009»
15 years 10 months ago
Learning and generalization of motor skills by learning from demonstration
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan...
109
Voted
NIPS
1997
15 years 5 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell