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2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Bipedal walking is a difficult behaviour to encode into an evolutionary neural network, particularly in threedimensional environments. Agents must be constantly maintaining balance alongside their primary objectives. Here we re-implement a simple evolutionary bipedal system, achieving high fitness and stepping gaits in 3D without the preliminary 2D bootstrapping process required by the original work. This high-performing system, with its deliberately simple neurocontroller, provides andoi:10.1109/ssci47803.2020.9308500 fatcat:jfqfenzcznf6paw4h23wq3ldtu