PROCESSING INCOMPLETE QUERY SPECIFICATIONS IN A CONTEXT-DEPENDENT REASONING FRAMEWORK


Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation

Reinforcement learning (RL) has shown superior performance in solving sequential decision problems.In recent years, RL is gradually being used to solve unmanned driving collision avoidance decision-making problems in complex scenarios.However, ships encounter many scenarios, and the differences in scenarios will seriously hinder the application of

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