360 search results - page 20 / 72 » Combining Learned Discrete and Continuous Action Models |
131
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ESOP
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
101
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ICRA
2010
IEEE
14 years 10 months ago
2010
IEEE
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
100
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ROBOCUP
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
113
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AR
2007
14 years 12 months ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...