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ICALP
2009
Springer
16 years 5 months ago
Functional Monitoring without Monotonicity
The notion of distributed functional monitoring was recently introduced by Cormode, Muthukrishnan and Yi [CMY08] to initiate a formal study of the communication cost of certain fu...
Chrisil Arackaparambil, Joshua Brody, Amit Chakrab...
ATAL
2005
Springer
15 years 10 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
AML
1998
60views more  AML 1998»
15 years 4 months ago
A restricted computation model on Scott domains and its partial primitive recursive functionals
The paper builds on both a simply typed term system PRω and a computation model on Scott domains via so-called parallel typed while programs (PTWP). The former provides a notion ...
Karl-Heinz Niggl
ML
2006
ACM
143views Machine Learning» more  ML 2006»
15 years 4 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
ATAL
2007
Springer
15 years 11 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone