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Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
23 January 2020
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
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Papers citing
"Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning"
50 / 93 papers shown
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Maximilian Igl
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Michael Watson
Yuxiao Chen
Boris Ivanovic
Marco Pavone
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170
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ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
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Xinyu Huang
You Lu
Dingji Wang
Yuheng Cao
Chaofeng Sha
Bihuan Chen
Keyu Chen
Xin Peng
MoE
259
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13 Nov 2025
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang
Xiangteng Zhang
Yinuo Wang
Guojian Zhan
Wenxuan Wang
Haoyu Gao
Jingliang Duan
Shengbo Eben Li
OffRL
209
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29 Oct 2025
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
Zengqi Peng
Yusen Xie
Yubin Wang
Rui Yang
Qifeng Chen
Jun Ma
139
0
0
21 Sep 2025
SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer
Fachri Najm Noer Kartiman
Rasim
Yaya Wihardi
Nurul Hasanah
Oskar Natan
Bambang Wahono
Taufik Ibnu Salim
ViT
110
1
0
28 Aug 2025
Interpretable Decision-Making for End-to-End Autonomous Driving
Mona Mirzaie
Bodo Rosenhahn
263
2
0
26 Aug 2025
Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Mingyue Lei
Zewei Zhou
Hongchen Li
Jiaqi Ma
Jia Hu
277
2
0
11 Aug 2025
DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
Dawood Wasif
T. Moore
Chandan K Reddy
Jin-Hee Cho
Seunghyun Yoon
Hyuk Lim
Dan Dongseong Kim
Jin-Hee Cho
VLM
LRM
236
0
0
01 Jun 2025
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation
Felix Jahncke
Johannes Betz
219
0
0
27 May 2025
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
434
1
0
13 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
503
1
0
12 May 2025
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
Ahmed Abouelazm
Jonas Michel
Helen Gremmelmaier
Tim Joseph
Philip Schorner
Johann Marius Zöllner
490
1
0
10 May 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
Bo Leng
Ran Yu
Wei Han
Lu Xiong
Zhuoren Li
Hailong Huang
394
4
0
25 Mar 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
FAtt
523
0
0
21 Feb 2025
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation
Namhee Kim
Woojin Park
412
1
0
06 Feb 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
Sang-Hyun Lee
Daehyeok Kwon
Seung-Woo Seo
428
1
0
17 Jan 2025
Joint Perception and Prediction for Autonomous Driving: A Survey
Lucas DalĆol
Miguel Oliveira
Vítor M. F. Santos
468
8
0
18 Dec 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
Mariusz Wisniewski
Paraskevas Chatzithanos
Weisi Guo
Antonios Tsourdos
205
10
0
18 Oct 2024
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
Siyi Lu
Lei He
Shengbo Eben Li
Yugong Luo
Jianqiang Wang
Keqiang Li
263
7
0
26 Sep 2024
Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception
Jie Jia
Yiming Shu
Zhongxue Gan
Wenchao Ding
406
6
0
26 Sep 2024
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Gemb Kaljavesi
Xiyan Su
Frank Diermeyer
282
3
0
02 Sep 2024
Adapting Image-based RL Policies via Predicted Rewards
Weiyao Wang
Xinyuan Fang
Gregory D. Hager
324
0
0
23 Jul 2024
GNN with Model-based RL for Multi-agent Systems
Hanxiao Chen
AI4CE
245
0
0
12 Jul 2024
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment
Jayabrata Chowdhury
Venkataramanan Shivaraman
Sumit Dangi
Suresh Sundaram
P. B. Sujit
235
7
0
12 Jul 2024
Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?
Zemian Ke
Qiling Zou
Jiachao Liu
Sean Qian
AI4CE
198
13
0
10 Jul 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
443
6
0
08 Jul 2024
Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
Guanzhou Li
Jianping Wu
Yujing He
246
3
0
19 Jun 2024
Unified End-to-End V2X Cooperative Autonomous Driving
Zhiwei Li
Bozhen Zhang
Lei Yang
Tianyu Shen
Nuo Xu
Ruosen Hao
Weiting Li
Tao Yan
Huaping Liu
203
0
0
07 May 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
496
34
0
12 Apr 2024
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
Tianqi Wang
Enze Xie
Ruihang Chu
Zhenguo Li
Ping Luo
LRM
301
47
0
25 Mar 2024
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
Dongyang Xu
Haokun Li
Qingfan Wang
Ziying Song
Lei Chen
Hanming Deng
213
13
0
19 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
702
14
0
18 Mar 2024
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong
David Hyunchul Shim
305
3
0
21 Feb 2024
Revisiting Experience Replayable Conditions
Taisuke Kobayashi
411
4
0
15 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov
Bálint Gyevnár
Cheng Wang
Steven Peters
Stefano V. Albrecht
XAI
523
93
0
08 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang
Xiaoyu Chen
YongQiang Li
Jianyu Chen
488
8
0
22 Jan 2024
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jayabrata Chowdhury
Venkataramanan Shivaraman
Suresh Sundaram
P B Sujit
175
10
0
10 Dec 2023
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
Sang-Hyun Lee
Yoonjae Jung
Seung-Woo Seo
189
6
0
17 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
IEEE Robotics and Automation Letters (RA-L), 2023
Hao-ming Lin
Wenhao Ding
Zuxin Liu
Yaru Niu
Jiacheng Zhu
Yuming Niu
Ding Zhao
OffRL
409
28
0
31 Oct 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
IEEE Control Systems Letters (L-CSS), 2023
Mikihisa Yuasa
Huy T. Tran
R. Sreenivas
FAtt
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650
2
0
29 Sep 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
IEEE International Conference on Computer Vision (ICCV), 2023
Hanqing Wang
Wei Liang
Luc Van Gool
Wenguan Wang
LM&Ro
299
91
0
14 Aug 2023
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Lei Zheng
Rui Yang
Zeng Peng
Michael Yu Wang
Jun Ma
353
13
0
11 Aug 2023
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
Tengju Ye
Wei Jing
Chunyong Hu
Shikun Huang
Lingping Gao
...
Wei Mao
Hang Zheng
Kun Li
Junbo Chen
Kaicheng Yu
379
86
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Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
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Chao Wang
Haseeb Hassan
H. Shah
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Pasi Fränti
3DV
328
3
0
16 Jul 2023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Pranav Singh Chib
Pravendra Singh
412
263
0
10 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Guoying Gu
3DV
493
673
0
29 Jun 2023
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving
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Vishruth Veerendranath
Suresh Sundaram
N. Sundararajan
143
0
0
15 Jun 2023
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
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Shengmai Chen
Zhijie Wang
Lei Ma
Tianyi Zhang
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274
24
0
02 Jun 2023
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations
Raphael Trumpp
M. Büchner
Abhinav Valada
Marco Caccamo
256
6
0
31 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks
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A. Pak
Dimitar Filev
Panagiotis Tsiotras
296
5
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24 May 2023
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