Safety-aware Causal Representation for Trustworthy Offline Reinforcement
Learning in Autonomous Driving

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving

31 October 2023

Ding Zhao

Papers citing "Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving"

13 / 13 papers shown

Title
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing Vinal Asodia Zhenhua Feng Saber Fallah OffRL 32 0 0 11 Apr 2025
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles Rhys Howard Nick Hawes Lars Kunze CML 54 1 0 18 Mar 2025
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving Zilin Huang Zihao Sheng Sikai Chen 18 4 0 01 Sep 2024
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems Shuo Yang Liwen Wang Yanjun Huang Hong Chen 15 0 0 22 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 26 12 0 19 Aug 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yi-Fan Yao Zhepeng Cen Wenhao Ding Hao-ming Lin Shiqi Liu Tingnan Zhang Wenhao Yu Ding Zhao OffRL OnRL 34 0 0 19 Jul 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 16 0 0 30 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 27 3 0 20 May 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Fuchun Sun Huazhe Xu CML 20 10 0 22 Feb 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 57 6 0 23 Dec 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 49 32 0 02 Nov 2023
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 59 45 0 16 Sep 2022
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