ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.12674
  4. Cited By
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

26 September 2021
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
ArXivPDFHTML

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

50 / 55 papers shown
Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Zhikun Tao
Gang Xiong
He Fang
Zhen Shen
Yunjun Han
Qing-Shan Jia
OffRL
108
0
0
13 May 2025
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
Zilin Huang
Zihao Sheng
Zhengyang Wan
Yansong Qu
Yuhao Luo
...
Jiancong Chen
Keke Long
Jiayi Meng
Yue Leng
Sikai Chen
109
0
0
25 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
115
0
0
31 Mar 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
84
0
0
19 Mar 2025
TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation
TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation
Haowei Sun
Xintao Yan
Zhijie Qiao
Haojie Zhu
Yihao Sun
...
Yifan Wei
Wei Zheng
Yizhou Sun
Yasuo Fukai
Henry X. Liu
102
2
0
05 Mar 2025
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Bo-Kai Ruan
Hao-Tang Tsui
Yung-Hui Li
Hong-Han Shuai
LM&Ro
120
9
0
20 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation
Learning from Active Human Involvement through Proxy Value Propagation
Zhenghao Peng
Wenjie Mo
Chenda Duan
Quanyi Li
Bolei Zhou
158
16
0
05 Feb 2025
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation
Ziyang Xie
Zhizheng Liu
Zhenghao Peng
Wayne Wu
Bolei Zhou
VGen
131
5
0
12 Jan 2025
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
Chunyu Xuan
Yazhe Niu
Yuan Pu
Shuai Hu
Yu Liu
Jing Yang
109
0
0
03 Jan 2025
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM
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
96
9
0
07 Oct 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
84
4
0
16 Sep 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Jianye Xu
Pan Hu
Bassam Alrifaee
81
5
0
14 Aug 2024
LCSim: A Large-Scale Controllable Traffic Simulator
LCSim: A Large-Scale Controllable Traffic Simulator
Yuheng Zhang
Tianjian Ouyang
Fudan Yu
Cong Ma
Lei Qiao
Jingtao Ding
Jian Yuan
Yong Li
77
2
0
28 Jun 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
83
2
0
26 Mar 2024
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
72
3
0
24 Jan 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
184
6
0
15 Sep 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot
  Optimization
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Quanyi Li
Zhenghao Peng
Bolei Zhou
124
57
0
17 Feb 2022
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
Parth Kothari
C. Perone
Luca Bergamini
Alexandre Alahi
Peter Ondruska
OffRL
61
30
0
12 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
66
62
0
26 Oct 2021
Safe Driving via Expert Guided Policy Optimization
Safe Driving via Expert Guided Policy Optimization
Zhenghao Peng
Quanyi Li
Chunxiao Liu
Bolei Zhou
OffRL
48
43
0
13 Oct 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks
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
219
232
0
06 Aug 2021
Emergent Road Rules In Multi-Agent Driving Environments
Emergent Road Rules In Multi-Agent Driving Environments
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
43
11
0
21 Nov 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent
  Challenge?
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Christian Schroeder de Witt
Tarun Gupta
Denys Makoviichuk
Viktor Makoviychuk
Philip Torr
Mingfei Sun
Shimon Whiteson
67
333
0
18 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
175
194
0
19 Oct 2020
MADRaS : Multi Agent Driving Simulator
MADRaS : Multi Agent Driving Simulator
Anirban Santara
S. Rudra
Sree Aditya Buridi
Meha Kaushik
A. Naik
Bharat Kaul
Balaraman Ravindran
64
30
0
02 Oct 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
73
298
0
08 Jul 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
137
1,812
0
08 Jun 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
226
474
0
10 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
67
170
0
20 Feb 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
122
2,881
0
10 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
72
555
0
03 Dec 2019
Learning a Decision Module by Imitating Driver's Control Behaviors
Learning a Decision Module by Imitating Driver's Control Behaviors
Junning Huang
Sirui Xie
Jiankai Sun
Gary Qiurui Ma
Chunxiao Liu
Jianping Shi
Dahua Lin
Bolei Zhou
44
31
0
30 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement
  Learning
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
74
143
0
11 Nov 2019
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
Panpan Cai
Yiyuan Lee
Yuanfu Luo
David Hsu
55
80
0
11 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
140
1,294
0
06 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
232
1,165
0
24 Oct 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large
  Scale City Traffic Scenario
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Huichu Zhang
Siyuan Feng
Chang-rui Liu
Yaoyao Ding
Yichen Zhu
Zihan Zhou
Weinan Zhang
Yong Yu
Haiming Jin
Z. Li
AI4TS
AI4CE
39
282
0
13 May 2019
A Review of Reinforcement Learning for Autonomous Building Energy
  Management
A Review of Reinforcement Learning for Autonomous Building Energy Management
Karl Mason
S. Grijalva
AI4CE
46
221
0
12 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter
Ryan K. Orosco
Michael C. Yip
OffRL
62
81
0
05 Mar 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
88
951
0
11 Feb 2019
Quantifying Generalization in Reinforcement Learning
Quantifying Generalization in Reinforcement Learning
K. Cobbe
Oleg Klimov
Christopher Hesse
Taehoon Kim
John Schulman
OffRL
96
670
0
06 Dec 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep
  Reinforcement Learning
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques
Angeliki Lazaridou
Edward Hughes
Çağlar Gülçehre
Pedro A. Ortega
D. Strouse
Joel Z Leibo
Nando de Freitas
65
57
0
19 Oct 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
142
1,878
0
01 Aug 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
95
655
0
01 Jul 2018
Mean Field Multi-Agent Reinforcement Learning
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang
Rui Luo
Minne Li
M. Zhou
Weinan Zhang
Jun Wang
AI4CE
61
574
0
15 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
305
8,334
0
04 Jan 2018
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep
  Learning in Self Driving Cars
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars
Mark Martinez
Chawin Sitawarin
Kevin Finch
Lennart Meincke
Alex Yablonski
A. Kornhauser
27
77
0
04 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
135
5,166
0
10 Nov 2017
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
Matthias Muller
Vincent Casser
Jean Lahoud
Neil G. Smith
Guohao Li
VGen
59
181
0
19 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
493
19,019
0
20 Jul 2017
12
Next