Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability theory to achieve clear, rule-based knowledge descriptions of multivariate probability distributions, and...

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Bibliographic Details
Main Authors: Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Applied Artificial Intelligence
Online Access:https://www.tandfonline.com/doi/10.1080/08839514.2024.2304942
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https://www.tandfonline.com/doi/10.1080/08839514.2024.2304942

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