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HIGH-LEVEL DECISION MAKING FOR SAFE AND REASONABLE AUTONOMOUS LANE CHANGING USING REINFORCEMENT LEARNING
HIGH-LEVEL DECISION MAKING FOR SAFE AND REASONABLE AUTONOMOUS LANE CHANGING USING REINFORCEMENT LEARNING
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机译：通过强化学习来确保安全和合理的自治车道变化的高层决策
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摘要
An aspect of the invention describes a system for training an artificial intelligence unit for an automated vehicle, with said artificial intelligence unit comprising a knowledge configuration, with said artificial intelligence unit determining or reading out an evaluation value for at least two motion actions for the automated vehicle considering an input state and considering the knowledge configuration, said input state characterizing the automated vehicle and/or its environment, said system configured to determine for each of the at least two motions actions whether the respective motion action is to be filtered out considering the input state; select one motion action from the set of motion actions, which are not to be filtered out of the at least two motion actions, considering the evaluation value of the respective motion actions; and train the artificial intelligence unit by adapting the knowledge configuration of the artificial intelligence unit considering the selected motion action.
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