170 search results - page 8 / 34 » Learning to play Tetris applying reinforcement learning meth... |
ICMLA
2008
14 years 11 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
108
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JAIR
2002
14 years 9 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
122
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
ACMACE
2006
ACM
15 years 3 months ago
2006
ACM
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
104
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ATAL
2007
Springer
15 years 3 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...