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AAAI
2008
15 years 6 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...
NIPS
2007
15 years 5 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
ICCBR
2001
Springer
15 years 8 months ago
A Similarity-Based Approach to Attribute Selection in User-Adaptive Sales Dialogs
For dynamic sales dialogs in electronic commerce scenarios, approaches based on an information gain measure used for attribute selection have been suggested. These measures conside...
Andreas Kohlmaier, Sascha Schmitt, Ralph Bergmann
PUK
2000
15 years 5 months ago
Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Jun Miura, Yoshiaki Shirai
WETICE
2007
IEEE
15 years 10 months ago
A Dominating Set Based Peer-to-Peer Protocol for Real-Time Multi-source Collaboration
Designing a collaborative architecture for real-time applications is an intricate challenge that usually involves dealing with the real-time constraints, resource limitations and ...
Dewan Tanvir Ahmed, Shervin Shirmohammadi, Abdulmo...