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ML
2002
ACM
100views Machine Learning» more  ML 2002»
14 years 9 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
CHI
2011
ACM
14 years 1 months ago
Improving the safety of homeless young people with mobile phones: values, form and function
By their pervasiveness and by being worn on our bodies, mobile phones seem to have become intrinsic to safety. To examine this proposition, 43 participants, from four stakeholder ...
Jill Palzkill Woelfer, Amy Iverson, David G. Hendr...
AAAI
2008
14 years 12 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CORR
2010
Springer
170views Education» more  CORR 2010»
14 years 9 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein
ISMVL
2007
IEEE
94views Hardware» more  ISMVL 2007»
15 years 3 months ago
Representations of Elementary Functions Using Edge-Valued MDDs
This paper proposes a method to represent elementary functions such as trigonometric, logarithmic, square root, and reciprocal functions using edge-valued multi-valued decision di...
Shinobu Nagayama, Tsutomu Sasao