Automatic ship collision avoidance using deep reinforcement learning with LSTM in continuous action spaces
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DOI: 10.1007/s00773-020-00755-0
Abstract: This paper presents an automatic collision avoidance algorithm for ships using a deep reinforcement learning (DRL) in continuous action spaces. Obstacle zone by target (OZT) is used to compute an area where a collision will… read more here.
Keywords: collision; collision avoidance; action spaces; continuous action ... See more keywords