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

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2026★ 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…

cs.RO2026

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming

Nan Li, Jiming Ren, Haris Miller +3

Multi-Agent Task Assignment and Planning (MATP) has attracted growing attention but remains challenging in terms of scalability, spatial reasoning, and adaptability in obstacle-ric…