1222 search results - page 29 / 245 » Machine Learning of Temporal Relations |
117
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SC
2005
ACM
15 years 3 months ago
2005
ACM
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
90
Voted
ICML
2010
IEEE
14 years 7 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
LAMAS
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
72
Voted
IJCAI
2007
14 years 11 months ago
2007
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
87
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...