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Control policy learning and vehicle control method based on reinforcement learning without active search

机译:基于加强学习的控制策略学习与车辆控制方法,无主动搜索

摘要

To provide a computer-implemented method for autonomously controlling a vehicle in order to perform a vehicle operation.SOLUTION: The method includes steps of: applying a passive actor-critic reinforcement learning method to passively collected data relating to the vehicle operation to learn a control policy configured for controlling the vehicle in order to perform the vehicle operation with a minimum expected cumulative cost; and controlling the vehicle in accordance with the control policy to perform the vehicle operation.SELECTED DRAWING: Figure 6
机译:提供一种用于自主控制车辆以执行车辆操作的计算机实现的方法。解决方法包括以下步骤:应用被动演员 - 批评的加强学习方法来被动地收集与车辆操作有关的数据以学习控制配置用于控制车辆的策略,以便以最小预期的累积成本执行车辆操作;并根据控制策略控制车辆以执行车辆操作。选择绘图:图6

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