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- W4385189731 abstract "In Evolutionary Robotics, techniques inspired by biological evolution are used to evolve robotic morphology and behaviors. Evolution Strategies is a popular algorithm in this field due to its capability to perform continuous optimization. In evolutionary robotics, the use of approaches as, for instance, niching techniques and environmental variation, has shown promising results in order to develop more effective adaptive behaviors or even improve the convergence time. The objective of this work is to analyze how a recent adaptation of Evolution Strategies developed by OpenAI, which we call OpenAI-ES, behaves when working alongside environmental variation and niching techniques. The results showed that this approach applied to the double pole balancing benchmark can improve performance by 9% for OpenAI-ES." @default.
- W4385189731 created "2023-07-25" @default.
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- W4385189731 date "2023-07-15" @default.
- W4385189731 modified "2023-09-27" @default.
- W4385189731 title "The Effectiveness of Niching on OpenAI-Evolution Strategies in the Evolution of Robotic Behavior" @default.
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- W4385189731 doi "https://doi.org/10.1145/3583133.3596341" @default.
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