Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios With Multiagent Reinforcement Learning
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DOI: 10.1109/jsyst.2025.3528976
Abstract: Autonomous vehicles trained through multiagent reinforcement learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can be impacted when faced with diverse driving styles and personalities, particularly… read more here.
Keywords: model diverse; diverse driving; multiagent reinforcement; reinforcement learning ... See more keywords