most citedMulti-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving

5 citations · 6 across the 6 of their papers we have counts for

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cs.LG2025★ 1 cited

A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective

Zhuoren Li, Guizhe Jin, Ran Yu +8

Reinforcement learning (RL), with its ability to explore and optimize policies in complex, dynamic decision-making tasks, has emerged as a promising approach to addressing motion p…