Learning Realistic Traffic Agents in Closed-loop

2 November 2023

Papers citing "Learning Realistic Traffic Agents in Closed-loop"

34 / 34 papers shown

Title
Guided Conditional Diffusion for Controllable Traffic Simulation Ziyuan Zhong Davis Rempe Danfei Xu Yuxiao Chen Sushant Veer Tong Che Baishakhi Ray Marco Pavone 68 155 0 31 Oct 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios Lan Feng Quanyi Li Zhenghao Peng Shuhan Tan Bolei Zhou 80 88 0 12 Oct 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen Boris Ivanovic Marco Pavone 89 84 0 26 Aug 2022
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 81 113 0 05 Apr 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 81 35 0 31 Mar 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior Davis Rempe Jonah Philion Leonidas Guibas Sanja Fidler Or Litany 88 135 0 09 Dec 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 179 60 0 09 Nov 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation A. Kamenev Lirui Wang Ollin Boer Bohan Ishwar Kulkarni Bilal Kartal Artem Molchanov Stan Birchfield David Nistér Nikolai Smolyanskiy 95 40 0 23 Sep 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 130 827 0 12 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 59 103 0 26 May 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation Adam Scibior Vasileios Lioutas Daniele Reda Peyman Bateni Frank Wood VGen 76 48 0 22 Apr 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 108 531 0 19 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 183 230 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 79 168 0 16 Jan 2021
Waymo's Safety Methodologies and Safety Readiness Determinations N. Webb Dan Smith Christopher Ludwick Trent Victor Q. Hommes Francesca Favaro George Ivanov Tom Daniel 40 65 0 30 Oct 2020
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 77 573 0 27 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 209 158 0 23 Jul 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 107 612 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,824 0 08 Jun 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 134 208 0 25 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 80 250 0 06 Nov 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 88 122 0 08 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 138 2,445 0 13 Dec 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 58 269 0 10 Jul 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 131 1,066 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 520 19,237 0 20 Jul 2017
Virtual to Real Reinforcement Learning for Autonomous Driving Xinlei Pan Yurong You Ziyan Wang Cewu Lu OffRL 69 336 0 13 Apr 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 108 840 0 11 Oct 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 156 3,119 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 4,175 0 25 Apr 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 323 13,272 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 104 3,434 0 08 Jun 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,232 0 02 Nov 2010