Abstract: In motion planning for Connected and automated vehicles (CAVs), separate modeling of car-following and lane-changing behaviors increases decision-making complexity, while scenario switching ...
Abstract: In this letter, we propose a novel reinforcement learning (RL) based path generation (RL-PG) approach for mobile robot navigation without a prior exploration of an unknown environment.
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