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Generating varied scenarios through simulation is crucial for training and evaluating safety-critical systems, such as autonomous vehicles.
On kendall’s tau as a test of trend in time series data
A. H. El-Shaarawi and Stefan P. Niculescu · 1992
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Openai gym, 2016
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
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Asynchronous methods for deep reinforcement learning, 2016
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Domain randomization for transferring deep neural networks from simulation to the real world, 2017
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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Diversity is all you need: Learning skills without a reward function, 2018
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, and Sergey Levine · 2018
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An environment for autonomous driving decision-making
Edouard Leurent · 2018
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Scenic: a language for scenario specification and scene generation
Daniel J. Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, and Sanjit A. Seshia · 2019
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Conditional driving from natural language instructions, 2019
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, and Dieter Fox · 2019
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Learning robust control policies for end-to-end autonomous driving from data-driven simulation
Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, and Daniela Rus · 2020
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Codebert: A pre-trained model for programming and natural languages, 2020
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou · 2020
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Lidarsim: Realistic lidar simulation by leveraging the real world, 2020
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
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Dynamics-aware unsupervised discovery of skills, 2020
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, and Karol Hausman · 2020
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Behaviorally diverse traffic simulation via reinforcement learning, 2020
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, and Adrien Gaidon · 2020
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Scalability in perception for autonomous driving: Waymo open dataset, 2020
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Sheng Zhao, Shuyang Cheng, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
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Simnet: Learning reactive self-driving simulations from real-world observations, 2021
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, and Peter Ondruska · 2021
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Trajectory diversity for zero-shot coordination
Andrei Lupu, Brandon Cui, Hengyuan Hu, and Jakob Foerster · 2021
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Trafficsim: Learning to simulate realistic multi-agent behaviors, 2021
Simon Suo, Sebastian Regalado, Sergio Casas, and Raquel Urtasun · 2021
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Scenegen: Learning to generate realistic traffic scenes, 2021
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, and Raquel Urtasun · 2021
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Controllable safety-critical closed-loop traffic simulation via guided diffusion, 2023
Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, and Manmohan Chandraker · 2023
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Realgen: Retrieval augmented generation for controllable traffic scenarios, 2023
Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, and Marco Pavone · 2023
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Trafficgen: Learning to generate diverse and realistic traffic scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023
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Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research, 2023
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp · 2023
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Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling
Quanyi Li, Zhenghao Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, and Bolei Zhou · 2023
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Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, and Daniela Rus · 2022
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Nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles, 2022
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, and Sammy Omari · 2022
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Reward (mis)design for autonomous driving, 2022
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone · 2022
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Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou · 2022
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Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d, 2022
Yiyi Liao, Jun Xie, and Andreas Geiger · 2022
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Generating useful accident-prone driving scenarios via a learned traffic prior, 2022
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, and Or Litany · 2022
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Bits: Bi-level imitation for traffic simulation, 2022
Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2022
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Eureka: Human-level reward design via coding large language models, 2023
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
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Generative pre-trained transformer 4 (gpt-4)
OpenAI · 2023
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Drivelm: Driving with graph visual question answering, 2023
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, and Hongyang Li · 2023
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Self-refined large language model as automated reward function designer for deep reinforcement learning in robotics, 2023
Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, and Lei Ma · 2023
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Language conditioned traffic generation, 2023
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, and Philipp Kraehenbuehl · 2023
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Language to rewards for robotic skill synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, and Fei Xia · 2023
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Language-guided traffic simulation via scene-level diffusion, 2023
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, and Baishakhi Ray · 2023
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DRIVE Sim: Simulation for Self-Driving Cars
NVIDIA · 2024
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