Propulsionless planar phasing of multiple satellites using deep reinforcement learning
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DOI: 10.1016/j.asr.2020.09.025
Abstract: Abstract This work creates a framework for solving highly non-linear satellite formation control problems by using model-free policy optimisation deep reinforcement learning (DRL) methods. This work considers, believed to be for the first time, DRL… read more here.
Keywords: planar phasing; phasing multiple; reinforcement learning; deep reinforcement ... See more keywords