513 search results - page 32 / 103 » Metric learning for reinforcement learning agents |
PRIMA
2009
Springer
15 years 7 months ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
118
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
60
Voted
ICAART
2010
INSTICC
15 years 9 months ago
2010
INSTICC
110
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ATAL
2006
Springer
15 years 4 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
93
Voted
JMLR
2002
15 years 4 days ago
2002
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...