MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

26 September 2021

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

49 / 149 papers shown

Title
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 16 1 0 06 Oct 2023
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration Zhi-Guo Deng Yanjun Shi Weiming Shen 6 0 0 26 Sep 2023
Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search Tong Zhou Erli Lyu Jiaole Wang Guangdu Cen Ziqi Zha Senmao Qi Max Q.-H. Meng 8 2 0 26 Sep 2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration Jinning Li Xinyi Liu Banghua Zhu Jiantao Jiao M. Tomizuka Chen Tang Wei Zhan OffRL OnRL 56 9 0 18 Sep 2023
Language Conditioned Traffic Generation Shuhan Tan B. Ivanovic Xinshuo Weng Marco Pavone Philipp Kraehenbuehl 17 21 0 16 Jul 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 20 19 0 14 Jul 2023
LimSim: A Long-term Interactive Multi-scenario Traffic Simulator Licheng Wen Daocheng Fu Song Mao Pinlong Cai Min Dou Yikang Li Yu Qiao 8 14 0 13 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 30 260 0 29 Jun 2023
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling Quanyi Li Zhenghao Peng Lan Feng Zhizheng Liu Chenda Duan Wen-An Mo Bolei Zhou 8 43 0 21 Jun 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 17 35 0 15 Jun 2023
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 11 0 0 23 May 2023
The Waymo Open Sim Agents Challenge Nico Montali John Lambert Paul Mougin Alex Kuefler Nick Rhinehart ... Tristan Emrich Zoey Yang Shimon Whiteson Brandyn White Drago Anguelov LLMAG 22 45 0 19 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 62 47 0 16 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 42 62 0 02 May 2023
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis Guy Scher Sadra Sadraddini Ariel Yadin H. Kress-Gazit 16 1 0 28 Apr 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 17 0 0 25 Apr 2023
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning Shathushan Sivashangaran Apoorva Khairnar A. Eskandarian 8 6 0 22 Apr 2023
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey barbara Schutt Joshua Ransiek Thilo Braun Eric Sax 29 13 0 21 Apr 2023
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles Xiaoliang Ju Yiyang Sun Yiming Hao Yikang Li Yu Qiao Hongsheng Li 11 1 0 19 Apr 2023
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation Wei-Jer Chang Chen Tang Chenran Li Yeping Hu M. Tomizuka Wei Zhan 68 10 0 24 Mar 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 16 334 0 17 Mar 2023
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement Xu-Hui Liu Feng Xu Xinyu Zhang Tianyuan Liu Shengyi Jiang Rui Chen Zongzhang Zhang Yang Yu 27 11 0 03 Mar 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 29 10 0 03 Mar 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 27 2 0 24 Jan 2023
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research Runsheng Xu Hao Xiang Xu Han Xin Xia Zonglin Meng Chia-Ju Chen Jiaqi Ma 24 65 0 18 Jan 2023
Street-View Image Generation from a Bird's-Eye View Layout Alexander Swerdlow Runsheng Xu Bolei Zhou 17 63 0 11 Jan 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios Yiren Lu Justin Fu George Tucker Xinlei Pan Eli Bronstein ... Brandyn White Aleksandra Faust Shimon Whiteson Drago Anguelov Sergey Levine OffRL 8 56 0 21 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 33 25 0 12 Dec 2022
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 42 42 0 01 Nov 2022
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds Joshua Albrecht Abraham J. Fetterman Bryden Fogelman Ellie Kitanidis Bartosz Wróblewski ... Michael Rosenthal Maksis Knutins Zachary Polizzi James B. Simon Kanjun Qiu OffRL 11 23 0 24 Oct 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios Lan Feng Quanyi Li Zhenghao Peng Shuhan Tan Bolei Zhou 10 81 0 12 Oct 2022
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills Tong Zhou Letian Wang Ruobing Chen Wenshuo Wang Y. Liu 16 11 0 24 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 40 5 0 15 Sep 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 17 4 0 09 Aug 2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving Sebastian Rietsch S. Huang G. Kontes Axel Plinge Christopher Mutschler OOD OffRL 12 5 0 23 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning Shunyu Liu Jie Song Yihe Zhou Na Yu Kaixuan Chen Zunlei Feng Mingli Song 11 6 0 08 Jul 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world Eugene Vinitsky Nathan Lichtlé Xiaomeng Yang Brandon Amos Jakob N. Foerster OffRL 31 51 0 20 Jun 2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang OffRL 15 9 0 17 Jun 2022
Human-AI Shared Control via Policy Dissection Quanyi Li Zhenghao Peng Haibin Wu Lan Feng Bolei Zhou 10 13 0 31 May 2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving Qichao Zhang Yinfeng Gao Yikang Zhang Youtian Guo Dawei Ding Yunpeng Wang Peng Sun Dongbin Zhao 9 33 0 31 Mar 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 67 35 0 17 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 14 141 0 04 Feb 2022
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment Aizaz Sharif D. Marijan 12 4 0 22 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 9 152 0 18 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 21 58 0 26 Oct 2021
Safe Driving via Expert Guided Policy Optimization Zhenghao Peng Quanyi Li Chunxiao Liu Bolei Zhou OffRL 20 41 0 13 Oct 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 139 219 0 06 Aug 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 127 192 0 19 Oct 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 451 0 10 Mar 2020