397 search results - page 37 / 80 » Reinforcement Learning with Hierarchies of Machines |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
115
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
102
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ML
2008
ACM
14 years 9 months ago
2008
ACM
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
KESAMSTA
2007
Springer
15 years 3 months ago
2007
Springer
: In recent years, market forecasting by machine learning methods has been flourishing. Most existing works use a past market data set, because they assume that each trader’s in...