878 search results - page 102 / 176 » Learning to Control in Operational Space |
172
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
141
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DATE
2005
IEEE
15 years 9 months ago
2005
IEEE
As compared to a large spectrum of performance optimizations, relatively little effort has been dedicated to optimize other aspects of embedded applications such as memory space r...
128
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
135
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IJCAI
2007
15 years 5 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
130
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ICAC
2006
IEEE
15 years 10 months ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...