Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving

19 March 2021

Papers citing "Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving"

18 / 18 papers shown

Title
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning Teng Pang Bingzheng Wang Guoqiang Wu Yilong Yin OffRL 68 0 0 03 Mar 2025
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Chengkai Xu Jiaqi Liu Shiyu Fang Jian-jun Sun Dong Chen Peng Hang Jian Sun 86 1 0 21 Feb 2025
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 24 1 0 20 Sep 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 29 1 0 21 Dec 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 16 8 0 04 Sep 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 29 335 0 17 Mar 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 29 17 0 08 Feb 2023
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning Jiawei Sun Chengran Yuan Shuo Sun Zhiyang Liu Terence Goh A. Wong K. P. Tee M. Ang 18 5 0 11 Nov 2022
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 25 33 0 24 Aug 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 25 4 0 09 Aug 2022
Diverse Imitation Learning via Self-Organizing Generative Models Arash Vahabpour Tianyi Wang Qiujing Lu Omead Brandon Pooladzandi V. Roychowdhury SSL 10 1 0 06 May 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 16 29 0 10 Feb 2022
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving Haochen Liu Zhiyu Huang Jingda Wu Chen Lv 32 70 0 18 Feb 2021
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 134 193 0 19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 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 146 1,628 0 02 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015