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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 4 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
ICML
1999
IEEE
15 years 11 months ago
Distributed Value Functions
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
SEKE
2004
Springer
15 years 3 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 3 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
DATE
1999
IEEE
135views Hardware» more  DATE 1999»
15 years 2 months ago
Combinational Equivalence Checking Using Satisfiability and Recursive Learning
The problem of checking the equivalence of combinational circuits is of key significance in the verification of digital circuits. In recent years, several approaches have been pro...
João P. Marques Silva, Thomas Glass