121 search results - page 19 / 25 » Learning Decision Theoretic Utilities through Reinforcement ... |
ICRA
2003
IEEE
15 years 2 months ago
2003
IEEE
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
AIPS
2006
14 years 11 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Current trends in model construction in the field of agentbased computational economics base behavior of agents on either game theoretic procedures (e.g. belief learning, fictit...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
CAINE
2008
14 years 11 months ago
2008
For many years, introductory Computer Science courses have followed the same teaching paradigms. These paradigms utilize only simple console windows; more interactive approaches t...