159 search results - page 12 / 32 » Module-Based Reinforcement Learning: Experiments with a Real... |
115
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IROS
2009
IEEE
15 years 6 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
ROMAN
2007
IEEE
15 years 6 months ago
2007
IEEE
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
105
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ROBOCUP
2004
Springer
15 years 5 months ago
2004
Springer
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
IJCAI
2003
15 years 1 months ago
2003
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
100
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AR
2004
14 years 11 months ago
2004
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...