Novelty search in neuroevolution for end effector positioning

• Date: 2023
• Main Authors: Vitiuk, A.Y., Doroshenko, A.Y.
• Format: Article
• Language: Ukrainian
• Published: PROBLEMS IN PROGRAMMING 2023
• Subjects: neural network; neuroevolution; robotic arm; reinforcement learning; NEAT; novelty search; fitness function; UDC 004.89
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/581
• Journal Title: Problems in programming

The article considers the use of the neuroevolution algorithm for neural network policies search when creating a controller for a robotic arm, in particular for the subtask of positioning the end effector. Neuro-evolution is a family of machine learning methods that use evolutionary algorithms by im...