Deep Reinforcement Learning for Autonomous Driving: A Survey

2 February 2020

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

50 / 179 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 27 0 0 13 May 2025
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Chengkai Xu Jiaqi Liu Yicheng Guo Y. Zhang Peng Hang Jian-jun Sun 26 0 0 11 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 24 0 0 10 May 2025
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 54 1 0 08 May 2025
Learning Streaming Video Representation via Multitask Training Yibin Yan Jilan Xu Shangzhe Di Yikun Liu Yudi Shi Qirui Chen Zeqian Li Yifei Huang Weidi Xie CLL 84 0 0 28 Apr 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Juan Carlos Climent Pardo 36 0 0 24 Apr 2025
Can Machine Learning Agents Deal with Hard Choices? Kangyu Wang 253 0 0 18 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 43 0 0 17 Apr 2025
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning Younghwan Lee T. Luu Donghoon Lee Chang-Dong Yoo 3DV VLM OffRL 39 0 0 03 Apr 2025
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models Liangbo Ning Ziran Liang Zhuohang Jiang Haohao Qu Yujuan Ding ... Xiao Wei Shanru Lin Hui Liu Philip S. Yu Qing Li LLMAG LM&Ro 91 6 0 30 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 120 1 0 10 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 88 1 0 21 Feb 2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control Jielong Yang Daoyuan Huang 35 0 0 21 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 68 2 0 18 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng X. Zhang 41 0 0 17 Feb 2025
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation Namhee Kim Woojin Park 41 0 0 06 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning Zhihao Zhang Ekim Yurtsever Keith A. Redmill 33 0 0 28 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots H. Zhang Xiaoman Pan Hongwei Wang Kaixin Ma W. Yu Dong Yu LLMAG 59 3 0 03 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 89 0 0 31 Dec 2024
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations Amirhossein Mesbah Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 72 0 0 21 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 83 1 0 01 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Xiaoguang Niu Yan Li Leong Hou U 31 1 0 27 Oct 2024
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning Dvij Kalaria Qin Lin John M. Dolan OffRL 28 0 0 09 Oct 2024
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM Tianhui Cai Yifan Liu Zewei Zhou Haoxuan Ma Seth Z. Zhao Zhiwen Wu Jiaqi Ma 42 7 0 07 Oct 2024
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang Lei Ying OffRL 37 2 0 25 Sep 2024
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
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 31 3 0 05 Sep 2024
3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving Matúš Čávojský Eugen Šlapak Matúš Dopiriak Gabriel Bugár Juraj Gazda 34 0 0 30 Aug 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Zihao Sheng Zilin Huang Sikai Chen 31 8 0 30 Aug 2024
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 65 0 0 01 Jul 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 67 1 0 17 Jun 2024
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis Qining Zhang Honghao Wei Lei Ying OffRL 50 1 0 11 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 37 1 0 06 Jun 2024
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios Mingyang Jiang Yueyuan Li Songan Zhang Siyuan Chen Chunxiang Wang Ming Yang 43 4 0 31 May 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 38 3 0 30 May 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Alois Knoll Ming Jin 40 1 0 26 May 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 32 8 0 25 May 2024
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine Yuanliang Li Hanzheng Dai Jun Yan 30 3 0 24 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 26 8 0 24 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 35 1 0 20 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 3 0 20 May 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 42 10 0 07 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 40 4 0 02 May 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Ming Jin Alois Knoll 52 9 0 02 May 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control Jasper Hoffmann Diego Fernandez Clausen Julien Brosseit Julian Bernhard Klemens Esterle M. Werling Michael Karg Joschka Boedecker 25 1 0 29 Apr 2024
Scene-Extrapolation: Generating Interactive Traffic Scenarios Maximilian Zipfl barbara Schutt J. Marius Zöllner 27 0 0 26 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 73 4 0 04 Apr 2024