Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions

By Daniel Bogdoll and others at
LogoKarlsruhe Institute of Technology
Reinforcement Learning is a highly active research field with promising advancements. In the field of autonomous driving, however, often very simple scenarios are being examined. Common approaches use non-interpretable control commands as the action space and unstructured reward designs which lack structure. In this work, we introduce Informed Reinforcement Learning,... Show more
February 6, 2024
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Thanks to arXiv for providing this article.
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