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Identify, Estimate and Bound the Uncertainty of Reinforcement Learning
  for Autonomous Driving

Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving

12 May 2023
Weitao Zhou
Zhong Cao
Nanshan Deng
Yunlong Wang
Diange Yang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving"

5 / 5 papers shown
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Weitao Zhou
Bo Zhang
Zhong Cao
X. Li
Qian Cheng
Chunyang Liu
Y. Zhang
Diange Yang
182
2
0
20 Jun 2025
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections
Ran Yu
Zhuoren Li
Lu Xiong
Wei Han
Bo Leng
286
1
0
26 May 2025
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement
  Learning
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
Saichao Liu
Geng Sun
Jiahui Li
Shuang Liang
Qingqing Wu
Pengfei Wang
Dusit Niyato
183
13
0
11 Apr 2024
Efficient and Generalized end-to-end Autonomous Driving System with
  Latent Deep Reinforcement Learning and Demonstrations
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang
Xiaoyu Chen
YongQiang Li
Jianyu Chen
413
6
0
22 Jan 2024
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task SpecificationsConference on Learning for Dynamics & Control (L4DC), 2023
Jun Wang
Hosein Hasanbeig
Kaiyuan Tan
Zihe Sun
Y. Kantaros
380
4
0
28 Nov 2023
1