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sefl-driving_taxi_qlearning icon sefl-driving_taxi_qlearning

根据隐马尔科夫原理,依据Q-learning的加强学习算法, 构建一个能够自学习交通规则 并且能够经过加强学习训练之后 找到最佳规划路线 并且能在规定时间到达. 目前优化后的成功率达到99%. 这个是自动驾驶路线规划的重要部分.

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