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Deep Reinforcement Learning for Autonomous Driving: A Survey
v1v2 (latest)

Deep Reinforcement Learning for Autonomous Driving: A Survey

2 February 2020
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Autonomous Driving: A Survey"

50 / 630 papers shown
Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning
Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning
Wentao Wang
Chunyang Liu
Kehua Sheng
Bo Zhang
Yan Wang
OffRL
290
0
0
04 Dec 2025
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
Nan Qiao
Sheng Yue
Ju Ren
Yaoxue Zhang
OffRL
159
2
0
02 Dec 2025
On the Tension Between Optimality and Adversarial Robustness in Policy Optimization
On the Tension Between Optimality and Adversarial Robustness in Policy Optimization
Haoran Li
Jiayu Lv
Congying Han
Zicheng Zhang
Anqi Li
Y. Liu
Tiande Guo
Nan Jiang
AAML
234
0
0
01 Dec 2025
RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
Guillermo Garcia-Cobo
Maximilian Igl
Peter Karkus
Zhejun Zhang
Michael Watson
Yuxiao Chen
Boris Ivanovic
Marco Pavone
OffRL
178
1
0
01 Dec 2025
Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
Yuchen Shi
Huaxin Pei
Y. Zhang
Danya Yao
AAML
262
0
0
28 Nov 2025
Aligning with Human Values to Enhance Interaction: An eHMI-Mediated Lane-Changing Negotiation Strategy Using Bayesian Inference
Aligning with Human Values to Enhance Interaction: An eHMI-Mediated Lane-Changing Negotiation Strategy Using Bayesian Inference
Boyao Peng
Linkun Liu
109
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0
27 Nov 2025
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
Karen Ullrich
Jingtong Su
Claudia Shi
Arjun Subramonian
Amir Bar
Ivan Evtimov
Nikolaos Tsilivis
Randall Balestriero
Julia Kempe
Mark Ibrahim
213
1
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25 Nov 2025
The Catastrophic Paradox of Human Cognitive Frameworks in Large Language Model Evaluation: A Comprehensive Empirical Analysis of the CHC-LLM Incompatibility
The Catastrophic Paradox of Human Cognitive Frameworks in Large Language Model Evaluation: A Comprehensive Empirical Analysis of the CHC-LLM Incompatibility
Mohan Reddy
ELM
238
1
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23 Nov 2025
A Primer on Quantum Machine Learning
A Primer on Quantum Machine Learning
Su Yeon Chang
M. Cerezo
243
7
0
20 Nov 2025
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous DrivingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Timur Anvar
Jeffrey Chen
Yuyan Wang
Rohan Chandra
165
0
0
16 Nov 2025
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
Yunchang Ma
Tenglong Liu
Yixing Lan
Xin Yin
Changxin Zhang
Xinglong Zhang
Xin Xu
OffRL
297
0
0
12 Nov 2025
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
Returaj Burnwal
Nirav P. Bhatt
Balaraman Ravindran
OffRL
442
0
0
11 Nov 2025
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun
Feidi Liu
Zhengming Ding
Zizhan Zheng
AAML
203
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0
10 Nov 2025
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
Jun Wang
Yevgeniy Vorobeychik
Y. Kantaros
240
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0
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MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
Xuantang Xiong
Ni Mu
Runpeng Xie
Senhao Yang
Y. Wang
...
Yao Luan
Siyuan Li
Shuang Xu
Yiqin Yang
Bo Xu
OffRL
191
0
0
09 Nov 2025
Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning
Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning
Jiaming Zhang
Yujie Yang
Haoning Wang
Liping Zhang
Shengbo Eben Li
176
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0
06 Nov 2025
Reinforcement learning based data assimilation for unknown state model
Reinforcement learning based data assimilation for unknown state model
Ziyi Wang
Lijian Jiang
158
1
0
04 Nov 2025
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
Kemal Oksuz
Alexandru Buburuzan
Anthony Knittel
Yuhan Yao
P. Dokania
LM&Ro
160
1
0
31 Oct 2025
Real-DRL: Teach and Learn in Reality
Real-DRL: Teach and Learn in Reality
Y. Mao
Yihao Cai
L. Sha
OffRL
206
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0
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Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach
Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach
Md. Shihab Uddin
Md Nazmus Shakib
Rahul Bhadani
92
0
0
28 Oct 2025
Learning to Drive Safely with Hybrid Options
Learning to Drive Safely with Hybrid Options
Bram De Cooman
Johan A. K. Suykens
148
0
0
28 Oct 2025
Confounding Robust Deep Reinforcement Learning: A Causal Approach
Confounding Robust Deep Reinforcement Learning: A Causal Approach
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
OffRLCML
243
2
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Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
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Wu Yichao
Wang Yirui
Ding Panpan
Wang Hailong
Zhu Bingqian
Liu Chun
AAML
199
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23 Oct 2025
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
Woo-Jin Ahn
Sang-Ryul Baek
Yong-Jun Lee
H. Choi
M. Lim
OffRL
154
0
0
17 Oct 2025
Towards Robust Zero-Shot Reinforcement Learning
Towards Robust Zero-Shot Reinforcement Learning
Kexin Zheng
Lauriane Teyssier
Yinan Zheng
Yu Luo
Xiayuan Zhan
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408
3
0
17 Oct 2025
A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking
A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking
Mingyang Jiang
Yueyuan Li
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Songan Zhang
Ming Yang
DiffMOffRL
155
1
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15 Oct 2025
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Tianyi Tan
Yinan Zheng
Ruiming Liang
Zexu Wang
Kexin Zheng
Jinliang Zheng
Jianxiong Li
Xianyuan Zhan
Jingjing Liu
181
10
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13 Oct 2025
HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
Donald Pfaffmann
Matthias Klusch
Marcel Steinmetz
186
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Controllable Audio-Visual Viewpoint Generation from 360° Spatial Information
Controllable Audio-Visual Viewpoint Generation from 360° Spatial Information
Christian Marinoni
R. F. Gramaccioni
Eleonora Grassucci
Danilo Comminiello
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177
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07 Oct 2025
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI
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Kun Xiang
Terry Jingchen Zhang
Yinya Huang
Jixi He
Zirong Liu
...
J. N. Han
Hang Xu
Han Li
Bin Dong
Xiaodan Liang
PINNAI4CE
456
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06 Oct 2025
Rounding-Guided Backdoor Injection in Deep Learning Model Quantization
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Xiangxiang Chen
Peixin Zhang
Jun Sun
Wenhai Wang
Jingyi Wang
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168
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Global Convergence of Policy Gradient for Entropy Regularized Linear-Quadratic Control with Multiplicative Noise
Global Convergence of Policy Gradient for Entropy Regularized Linear-Quadratic Control with Multiplicative Noise
Gabriel Diaz
Lucky Li
Wenhao Zhang
371
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Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
Sooraj Sathish
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Raghuram Bharadwaj Diddigi
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Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
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RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
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SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking via End-to-End Offline Reinforcement Learning
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138
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Ekim Yurtsever
Keith A. Redmill
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TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
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Hansford Hendrago
Jinwook Huh
Teawon Han
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Jesse Miller
Boaz Floor
Yunqing Hu
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393
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Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
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Ling Wang
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Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
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Soumyajit Dey
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Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
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Xuefeng Wang
Lei Zhang
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Ahmed H. Qureshi
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TrajAware: Graph Cross-Attention and Trajectory-Aware for Generalisable VANETs under Partial Observations
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PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training
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Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
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Ayan Dutta
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Safe and Efficient Lane-Changing for Autonomous Vehicles: An Improved Double Quintic Polynomial Approach with Time-to-Collision Evaluation
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Learning Game-Playing Agents with Generative Code Optimization
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