251 search results - page 17 / 51 » Skill Combination for Reinforcement Learning |
107
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GECCO
2009
Springer
15 years 4 months ago
2009
Springer
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...
134
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
IROS
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
100
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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...