Abstract: Aiming at the problems that exist in efficient and safe path planning for wall-climbing robots in complex environments, this paper proposes an optimal path planning scheme based on an ...
Abstract: This study examines two AI-driven methods namely, Genetic Algorithms and Neuroevolution of Augmenting Topologies (NEAT) for training game-playing agents to outperform human players. Genetic ...
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