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个人简介
My research has focused on using artificial evolution to automatically design neural network solutions to reinforcement learning tasks. This general approach can potentially provide a way to solve complex real-world control problems in areas such as aerospace and autonomous robotics where it is often too difficult to design effective controllers by conventional engineering methods. In addition to developing algorithms that can solve such tasks, I am also interested in studying techniques for making evolved controllers robust so that they can successfully make the transition from simulation to the real world, and therefore actually be useful in industry.
研究兴趣
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CoRR (2023)
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