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ICML
1999
IEEE
15 years 10 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
VEE
2006
ACM
115views Virtualization» more  VEE 2006»
15 years 3 months ago
Live updating operating systems using virtualization
Many critical IT infrastructures require non-disruptive operations. However, the operating systems thereon are far from perfect that patches and upgrades are frequently applied, i...
Haibo Chen, Rong Chen, Fengzhe Zhang, Binyu Zang, ...
ATAL
2005
Springer
15 years 3 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
XIMEP
2004
ACM
108views Database» more  XIMEP 2004»
15 years 3 months ago
The Joy of SAX
Most current XQuery implementations require that all XML data reside in memory in one form or another before they start processing the data. This is unacceptable for large XML doc...
Leonidas Fegaras
CCS
2008
ACM
14 years 11 months ago
Stale-safe security properties for group-based secure information sharing
Attribute staleness arises due to the physical distribution of authorization information, decision and enforcement points. This is a fundamental problem in virtually any secure di...
Ram Krishnan, Jianwei Niu, Ravi S. Sandhu, William...