1150 search results - page 79 / 230 » Tackling Large State Spaces in Performance Modelling |
186
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ILP
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
114
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IJAIT
2006
15 years 1 months ago
2006
We present MABLE, a fully implemented programming language for multiagent systems, which is intended to support the automatic verification of such systems via model checking. In a...
126
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EUROPAR
2011
Springer
14 years 1 months ago
2011
Springer
: Tuning numerical libraries has become more difficult over time, as systems get more sophisticated. In particular, modern multicore machines make the behaviour of algorithms hard ...
SIGPRO
2002
15 years 1 months ago
2002
Dynamic image analysis requires the estimation of time-varying model parameters (e.g., shape coe cients). This can be11 seen as states of a dynamic model which are restricted to a...
114
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CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...