Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment

12 July 2024

Papers citing "Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment"

5 / 5 papers shown

Title
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving Kexin Tian Jingrui Mao Y. Zhang Jiwan Jiang Yang Zhou Zhengzhong Tu CoGe 60 0 0 04 Apr 2025
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 131 192 0 19 Oct 2020
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching Lu Zhang Wenchao Ding Jia Chen Shaojie Shen 26 36 0 05 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,599 0 02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li M. Tomizuka 45 219 0 23 Jan 2020