This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
Omelianenko, Iaroslav. Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users Using O.C.E.A.N. Model of Personality.arXiv [Cs.LG], 2017. P. 1β24. DOI: https://doi.org/10.48550/arxiv.1703.06914.
Omelianenko, Iaroslav. Applying Advanced Machine Learning Models to Classify Electro-Physiological Activity of Human Brain for Use in Biometric Identification.arXiv [Cs.LG], 2017. P. 1β8. DOI: 10.48550/arxiv.1708.01167
Omelianenko, I. Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization.Hal.science, 2018. P. 1β7. URL: https://hal.science/hal-01868756
Omelianeko, I. Simulation of the autonomous maze navigation using the NEAT algorithm.Problems in programming, 2023. Vol. 4, P. 76β89. DOI: 10.15407/pp2023.04.076
Omelianenko, I. and Sinitsyn, I. Artificial swarm intelligence.International Scientific Technical Journal "Problems of Control and Informatics", 2024, Vol. 69. N 3. P. 91β103. DOI: 10.34229/1028-0979-2024-3-7