Abstract: Evolutionary Algorithms (EAs) play a crucial role in the architectural configuration and training of Artificial Deep Neural Networks (DNNs), a process known as neuroevolution. However, ...
Abstract: Games are designed to challenge human players, but this also makes it challenging to generate software tests for computer games automatically. Neural networks have therefore been proposed to ...
The goal of this project is to evaluate and improve Neuroevolution as a machine learning technique in a wide variety of complex environments provided by real-time computer games. To date, we have used ...
Igor's interests center on neuroevolution of intelligent behavior. He was part of the team that won the BotPrize (Turing test for game bots) in 2012, and he was the lead developer of OpenNERO platform ...
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