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AAMAS
2002
Springer
13 years 11 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
DATAMINE
2006
97views more  DATAMINE 2006»
13 years 11 months ago
Reinforcing Web-object Categorization Through Interrelationships
Existing categorization algorithms deal with homogeneous Web objects, and consider interrelated objects as additional features when taking the interrelationships with other types o...
Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-J...