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MORE ON PROGRAM EVOLUTION

**12.**
J. Schmidhuber.
Optimal Ordered Problem Solver.
* Machine Learning, * 54, 211-254, 2004.

**10.**
J. Schmidhuber, V. Zhumatiy, M. Gagliolo. Bias-Optimal Incremental Learning of
Control Sequences for Virtual Robots. In * Proceedings of the 8-th conference
on Intelligent Autonomous Systems, * IAS-8, Amsterdam, 2004, in press.

**11.**
J. Schmidhuber.
Bias-Optimal Incremental Problem Solving.
In S. Becker, S. Thrun, K. Obermayer, eds.,
*Advances in Neural Information Processing Systems 15, NIPS'15,*
MIT Press, Cambridge MA, p. 1571-1578, 2003.
PDF .
HTML.

**10.**
R. Salustowicz and J. Schmidhuber.
Learning to predict through PIPE and automatic task decomposition.
Technical Report IDSIA-11-98, IDSIA, April 1998.

**9.**
R. Salustowicz and M. Wiering and J. Schmidhuber.
Learning team strategies: soccer case studies.
Machine Learning, 1998 (127 K).

**8.**
R. Salustowicz and J. Schmidhuber.
Evolving structured programs with hierarchical
instructions and skip nodes.
In Jude Shavlik, ed.,
*Machine Learning:
Proceedings of the 15th International Conference*,
p. 488-496,
Morgan Kaufmann Publishers, San Francisco, CA,
1998.

**7.**
J. Schmidhuber, J. Zhao, and M. Wiering.
Shifting inductive bias with success-story algorithm,
adaptive Levin search, and incremental self-improvement.
Machine Learning 28:105-130, 1997.
PDF .
Flawed HTML.

**6.**
R. Salustowicz and J. Schmidhuber.
Probabilistic incremental program evolution.
Evolutionary Computation, 5(2):123-141, 1997.

**5.**
J. Schmidhuber.
Discovering neural nets with low Kolmogorov complexity
and high generalization capability.
Neural Networks, 10(5):857-873, 1997 (123 K).
PDF
,
HTML

**4.**
R. Salustowicz and J. Schmidhuber.
Probabilistic incremental program evolution:
stochastic search through program space. In van Someren, M.,
Widmer, G., editors, Machine Learning: ECML-97,
Lecture Notes in Artificial Intelligence 1224,
pages 213-220, Springer, 1997.