Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation

6 May 2022

Papers citing "Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation"

31 / 31 papers shown

Title
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 92 1 0 19 Mar 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Yue Yang VGen 138 7 0 20 Jan 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 125 270 0 09 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 106 2 0 11 Nov 2024
Reward-free World Models for Online Imitation Learning Shangzhe Li Zhiao Huang H. Su OffRL 131 1 0 17 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 408 1 0 13 Oct 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 275 30,109 0 01 Mar 2022
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles Holger Caesar Juraj Kabzan Kok Seang Tan Whye Kit Fong Eric M. Wolff A. Lang L. Fletcher Oscar Beijbom Sammy Omari 66 291 0 22 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 140 680 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 130 1,642 0 02 Jun 2021
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations Luca Bergamini Yawei Ye Oliver Scheel Long Chen Chih Hu Luca Del Pero B. Osinski Hugo Grimmett Peter Ondruska 56 103 0 26 May 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 187 560 0 20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 229 368 0 20 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 176 230 0 17 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang Ava Pun James Tu S. Manivasagam Abbas Sadat Sergio Casas Mengye Ren R. Urtasun 71 168 0 16 Jan 2021
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 65 66 0 08 Nov 2020
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
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 101 133 0 27 Jul 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching Daniel Jarrett Ioana Bica M. Schaar OffRL 49 62 0 25 Jun 2020
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 100 667 0 12 Oct 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 84 739 0 07 Dec 2018
Learning from Demonstration in the Wild Bertrand Higy K. Shiarlis Xi Chen Vitaly Kurin Sudhanshu Kasewa ... João Gomes Supratik Paul F. Oliehoek João Messias Shimon Whiteson 82 76 0 08 Nov 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric Xing Ruslan Salakhutdinov 114 83 0 17 Jun 2018
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 100 396 0 23 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 88 995 0 14 Apr 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 191 247 0 27 Mar 2017
Model-based Adversarial Imitation Learning Nir Baram Oron Anschel Shie Mannor GAN 44 43 0 07 Dec 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,106 0 10 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,170 0 25 Apr 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 76 653 0 09 Feb 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 220 3,221 0 02 Nov 2010