Q2
Q2 is an algorithm for finding optima of noisy continuous functions. The details of the algorithm can be found in [1].
A Matlab implementation can be found here. A README file is available here.
A more robust implementation can be found at the AUTON lab in the near future.
Acknowledgements
The Matlab code was originally implemented by Brigham Anderson and later extended by Paul Strauss.
References
[1] Moore, A. W., Schneider, J. G., Boyan, J. A., and Lee, M. S. (1998). Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. In Proceedings of the Fifteenth International Conference on Machine Learning, (pp 386-394). San Francisco, CA: Morgan Kaufmann Publishers Inc.