548 search results - page 27 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
107
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ATAL
2009
Springer
14 years 9 months ago
2009
Springer
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
MA
1999
Springer
15 years 4 months ago
1999
Springer
In order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system...
109
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ICML
2010
IEEE
15 years 25 days ago
2010
IEEE
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
ICCBR
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
AAAI
2010
15 years 1 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...