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AAMAS
2002
Springer
13 years 4 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 4 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...