A Survey of State-Action Representations for Autonomous Driving

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Deep Reinforcement Learning for Autonomous Driving: A Survey (2020, background): “Leurent et al. [76] provided a comprehensive review of the different state and action representations which are used in autonomous driving research.”
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys (2023, unknown): “All the surveys are categorized into several sub-sections, including the overall [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], localization [14], [15], [16], [17], [18], [19],”
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles (2020, background): “[53] 1) Vehicle state observation: For lane keeping, navigation, simple racing, overtaking, or maneuvering tasks, the most commonly used and also the simplest observation for the ego vehicle consists of the continuous variables of ( | e | , v, θ e ) describing the lateral position from the…”