End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances

25 November 2019

Papers citing "End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances"

34 / 34 papers shown

Title
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving Zhijie Qiao Haowei Li Zhong Cao Henry X. Liu VLM 82 3 0 01 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 49 0 0 24 Apr 2025
End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li Yuqi Wang Yang Liu Jiawei He Lue Fan Zhaoxiang Zhang OffRL 132 1 0 02 Apr 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Sang-Hyun Lee Daehyeok Kwon Seung-Woo Seo 68 1 0 17 Jan 2025
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving S. Mohammed Alp Argun Nicolas Bonnotte Gerd Ascheid OffRL 28 0 0 02 Sep 2024
Enhancing End-to-End Autonomous Driving with Latent World Model Yingyan Li Lue Fan Jiawei He Yuqi Wang Yuntao Chen Zhaoxiang Zhang Tieniu Tan 70 8 0 12 Jun 2024
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System Genjia Liu Yue Hu Chenxin Xu Weibo Mao Junhao Ge ... Yifan Lu Yinda Xu Junkai Xia Yafei Wang Siheng Chen 66 7 0 15 Apr 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Qifeng Li Xiaosong Jia Shaobo Wang Junchi Yan 25 27 0 26 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model Jianhao Yuan Shuyang Sun Daniel Omeiza Bo-Lu Zhao Paul Newman Lars Kunze Matthew Gadd LRM 16 48 0 16 Feb 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 17 0 0 29 Jan 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 73 5 0 13 Dec 2023
LMDrive: Closed-Loop End-to-End Driving with Large Language Models Hao Shao Yuxuan Hu Letian Wang Steven L. Waslander Yu Liu Hongsheng Li ELM 33 111 0 12 Dec 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning Pedram Agand Mohammad Mahdavian Manolis Savva Mo Chen ViT 21 4 0 19 Oct 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 27 0 0 25 Apr 2023
PaaS: Planning as a Service for reactive driving in CARLA Leaderboard Nhat Hao Truong Huu Thien Mai T. Anh M. Tran Duc Duy Nguyen Ngoc Viet Phuong Pham 13 2 0 17 Apr 2023
ADAPT: Action-aware Driving Caption Transformer Bu Jin Xinyi Liu Yupeng Zheng Pengfei Li Hao Zhao Tong Zhang Yuhang Zheng Guyue Zhou Jingjing Liu 25 69 0 01 Feb 2023
GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks Yan Ding Cheng Cui Xiaohan Zhang Shiqi Zhang 25 3 0 05 Oct 2022
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer Hao Shao Letian Wang Ruobing Chen Hongsheng Li Y. Liu 28 195 0 28 Jul 2022
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving Qingwen Zhang Mingkai Tang R. Geng Feiyi Chen Ren Xin Lujia Wang 30 34 0 01 Jul 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 25 182 0 16 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 91 295 0 31 May 2022
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles Jiaxun Cui Hang Qiu Dian Chen Peter Stone Yuke Zhu 17 111 0 04 May 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann Katrin Renz Kashyap Chitta Apratim Bhattacharyya Andreas Geiger 13 85 0 28 Apr 2022
Learning from All Vehicles Dian Chen Philipp Krahenbuhl 23 175 0 22 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 11 15 0 23 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 25 10 0 24 Jan 2022
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 26 11 0 20 Nov 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 26 60 0 16 Nov 2021
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles Shengduo Chen Yao Sun Dachuan Li Qiang Wang Qi Hao J. Sifakis 54 15 0 28 Sep 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 22 44 0 19 Apr 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 30 508 0 19 Apr 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 32 169 0 13 Jan 2021
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 216 2,055 0 07 Jun 2016