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» Iterative Learning Control - Monotonicity and Optimization
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IMC
2005
ACM
15 years 3 months ago
Inferring and Debugging Path MTU Discovery Failures
If a host can send packets larger than an Internet path can forward, it relies on the timely delivery of Internet Control Message Protocol (ICMP) messages advising that the packet...
Matthew J. Luckie, Kenjiro Cho, Bill Owens
AAAI
2008
15 years 6 days ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 1 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
ICML
2006
IEEE
15 years 10 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
ICML
2005
IEEE
15 years 10 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...