ESP C++
Released 2000
The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension to the SANE algorithm that segregates the neurons into sub-populations, one for each hidden unit in the networks being evolved. This allows neuron specializations to form more rapidly through constrained mating and enables the system to evolve recurrent networks. This package applies ESP to a non-Markov version of the double pole balancing problem. This is a difficult control task that requires short-term memory. For more details on ESP and/or the double pole system, see this paper on ESP or others found under Neuroevolution Methods and Applications.
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Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
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IJCNN-2013 Tutorial on Evolution of Neural Networks Risto Miikkulainen To Appear In 2013. Tutorial slides.. 2013

Multiagent Learning through Neuroevolution Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, an... In J. Liu et al., editors, Advances in Computational Intelligence, LNCS 7311, 24-46, Berlin, ... 2012

Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen IEEE Transactions on Autonomous Mental Development, 1:170--186, 2010. 2010

Neuroevolution Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 2010

Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2007. 2007

Computational Intelligence in Games Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern H... In Gary Y. Yen and David B. Fogel, editors, Computational Intelligence: Principles and Practice<... 2006

Active Guidance for a Finless Rocket Using Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2084-2095, San Francis... 2003

Robust Non-Linear Control through Neuroevolution Faustino J. Gomez PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003

Utilizing Domain Knowledge in Neuroevolution James Fan, Raymond Lau, and Risto Miikkulainen Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Was... 2003

A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor Faustino J. Gomez, Doug Burger, and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2355-23... 2001

Solving Non-Markovian Control Tasks With Neuroevolution Faustino J. Gomez and Risto Miikkulainen 1999. Dissertation Proposal, Computer Science Department, University of Texas at Austin. 1999

2-D Pole Balancing With Recurrent Evolutionary Networks Faustino Gomez and Risto Miikkulainen In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), 425-... 1998

Incremental Evolution Of Complex General Behavior Faustino Gomez and Risto Miikkulainen Adaptive Behavior(5):317-342, 1997. 1997