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Found 3 papers, 2 papers with code
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
To address the challenge of insufficient interactivity and behavioral diversity in autonomous driving decision-making, this paper proposes a Cognitive Hierarchical Agent for Reasoning and Motion Stylization (CHARMS).
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
Traditional methods usually perform holistic inference on the trajectories of agents, neglecting the differences in prediction difficulty among agents.
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment
As a typical vehicle-cyber-physical-system (V-CPS), connected automated vehicles attracted more and more attention in recent years.
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