MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

26 September 2021

Papers citing "MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning"

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Title
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving Xuemeng Yang Licheng Wen Yukai Ma Jianbiao Mei Xin Li ... Min Dou Botian Shi Liang He Yong-Jin Liu Yu Qiao VGen 30 16 0 01 Aug 2024
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning Leen Kweider Maissa Abou Kassem Ubai Sandouk OffRL 33 0 0 29 Jul 2024
MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces Wayne Wu Honglin He Yiran Wang Chenda Duan Jack He Zhizheng Liu Quanyi Li Bolei Zhou 24 0 0 11 Jul 2024
A Review of the Applications of Deep Learning-Based Emergent Communication Brendon Boldt David R. Mortensen VLM 27 6 0 03 Jul 2024
Solving Motion Planning Tasks with a Scalable Generative Model Yihan Hu Siqi Chai Zhening Yang Jingyu Qian Kun Li Wenxin Shao Haichao Zhang Wei-ping Xu Qiang Liu 36 17 0 03 Jul 2024
Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards Hyeokjin Kwon Gunmin Lee Junseo Lee Songhwai Oh 30 0 0 02 Jul 2024
LCSim: A Large-Scale Controllable Traffic Simulator Yuheng Zhang Tianjian Ouyang Fudan Yu Cong Ma Lei Qiao Jingtao Ding Jian Yuan Yong Li 38 2 0 28 Jun 2024
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems Xianda Chen Xu Han Meixin Zhu Xiaowen Chu PakHin Tiu Xinhu Zheng Yinhai Wang 27 4 0 23 Jun 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking D. Dauner Marcel Hallgarten Tianyu Li Xinshuo Weng Zhiyu Huang ... Igor Gilitschenski B. Ivanovic Marco Pavone Andreas Geiger Kashyap Chitta 49 5 0 21 Jun 2024
A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles Jiaqi Liu Shiyu Fang Xuekai Liu Lulu Guo Peng Hang Jian-jun Sun 18 3 0 20 Jun 2024
SimGen: Simulator-conditioned Driving Scene Generation Yunsong Zhou Michael Simon Zhenghao Peng Sicheng Mo Hongzi Zhu Minyi Guo Bolei Zhou VGen 42 11 0 13 Jun 2024
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance Kuan Heng Lin Sicheng Mo Ben Klingher Fangzhou Mu Bolei Zhou DiffM 14 15 0 11 Jun 2024
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models Phat Nguyen Tsun-Hsuan Wang Zhang-Wei Hong S. Karaman Daniela Rus LM&Ro 14 3 0 06 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions Tianyuan Zhang Lu Wang Hainan Li Yisong Xiao Siyuan Liang Aishan Liu Xianglong Liu Dacheng Tao 35 10 0 03 Jun 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction Zikang Zhou Haibo Hu Xinhong Chen Jianping Wang Nan Guan Kui Wu Yung-Hui Li Yu-Kai Huang Chun Jason Xue AI4CE 31 17 0 27 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
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters J. Lavington Ke Zhang Vasileios Lioutas Matthew Niedoba Yunpeng Liu ... Xiaoxuan Liang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank D. Wood 14 5 0 07 May 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng Xian Wu Jiahao Yu Sabrina Yang Gang Wang Xinyu Xing OffRL 19 2 0 05 May 2024
GAD-Generative Learning for HD Map-Free Autonomous Driving Weijian Sun Yanbo Jia Qi Zeng Zihao Liu Jiang Liao Yue Li Xianfeng Li 21 0 0 01 May 2024
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset Dongsu Lee Chanin Eom Minhae Kwon GP OffRL 16 2 0 03 Apr 2024
Human-compatible driving partners through data-regularized self-play reinforcement learning Daphne Cornelisse Eugene Vinitsky 16 6 0 28 Mar 2024
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving Xuemin Hu Pan Chen Yijun Wen Bo Tang Long Chen 19 2 0 27 Mar 2024
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic Kashyap Chitta D. Dauner Andreas Geiger 3DGS 36 5 0 26 Mar 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 35 1 0 26 Mar 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction Lan Feng Mohammadhossein Bahari Kaouther Messaoud Ben Amor Éloi Zablocki Matthieu Cord Alexandre Alahi 36 18 0 22 Mar 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations Lirui Luo Guoxi Zhang Hongming Xu Yaodong Yang Cong Fang Qing Li 16 11 0 19 Mar 2024
Urban Scene Diffusion through Semantic Occupancy Map Junge Zhang Qihang Zhang Li Zhang Ramana Rao Kompella Gaowen Liu Bolei Zhou 26 4 0 18 Mar 2024
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation Pan He Quanyi Li Xiaoyong Yuan Bolei Zhou 26 0 0 11 Mar 2024
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving Napat Karnchanachari Dimitris Geromichalos Kok Seang Tan Nanxiang Li Christopher Eriksen ... N. Mehdipour Gianmarco Bernasconi Whye Kit Fong Yiluan Guo Holger Caesar 27 31 0 07 Mar 2024
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization Yuan Lin Antai Xie Xiao Liu 31 1 0 05 Mar 2024
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction Xiao Chen Quanyi Li Tai Wang Tianfan Xue Jiangmiao Pang 40 6 0 25 Feb 2024
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning Weiwei Liu Wenxuan Hu Wei Jing Lanxin Lei Lingping Gao Yong Liu 31 2 0 21 Feb 2024
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving Zhiyu Huang Chen Tang Chen Lv Masayoshi Tomizuka Wei Zhan 19 5 0 27 Jan 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng Jianxiong Li Dongjie Yu Yujie Yang Shengbo Eben Li Xianyuan Zhan Jingjing Liu OffRL 19 23 0 19 Jan 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 26 10 0 08 Jan 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 15 27 0 06 Jan 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 8 10 0 18 Dec 2023
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition Sicheng Mo Fangzhou Mu Kuan Heng Lin Yanli Liu Bochen Guan Yin Li Bolei Zhou DiffM 24 52 0 12 Dec 2023
Prospective Role of Foundation Models in Advancing Autonomous Vehicles Jianhua Wu B. Gao Jincheng Gao Jianhao Yu Hongqing Chu ... Xun Gong Yi Chang H. E. Tseng Hong Chen Jie Chen 31 3 0 08 Dec 2023
Towards Knowledge-driven Autonomous Driving Xin Li Yeqi Bai Pinlong Cai Licheng Wen Daocheng Fu ... Yikang Li Botian Shi Yong-Jin Liu Liang He Yu Qiao 32 26 0 07 Dec 2023
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future Hongyang Li Yang Li Huijie Wang Jia Zeng Huilin Xu ... Kai Yan Beipeng Mu Zhihui Peng Shaoqing Ren Yu Qiao 16 23 0 06 Dec 2023
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? Zhiqi Li Zhiding Yu Shiyi Lan Jiahan Li Jan Kautz Tong Lu Jose M. Alvarez 21 22 0 05 Dec 2023
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making Yueyuan Li Songan Zhang Mingyang Jiang Xingyuan Chen Yeqiang Qian Chunxiang Wang Ming Yang 25 1 0 18 Nov 2023
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving Yueyuan Li Wei Yuan Songan Zhang Weihao Yan Qiyuan Shen Chunxiang Wang Ming Yang 21 31 0 18 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 14 0 0 01 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 20 11 0 31 Oct 2023
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji Borong Zhang Jiayi Zhou Xuehai Pan Weidong Huang Ruiyang Sun Yiran Geng Yifan Zhong Juntao Dai Yaodong Yang OffRL 23 60 0 19 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 21 26 0 19 Oct 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino Justin Fu Wenjie Luo George Tucker Eli Bronstein ... Brandyn White Aleksandra Faust R. McAllister Drago Anguelov Benjamin Sapp 22 89 0 12 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 77 12 0 12 Oct 2023