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Mar, 2024
基于全面运营成本回报的深度强化学习自主卡车战术决策
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
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Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
TL;DR
我们发展了一个深度强化学习框架，专门用于自动卡车的战术决策，尤其是自适应巡航控制和高速公路上的车道变换动作。
Abstract
We develop a
deep reinforcement learning
framework for
tactical decision making
in an
autonomous truck
, specifically for
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