CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving

27 February 2025

Papers citing "CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving"

43 / 43 papers shown

Title
Autoregressive Meta-Actions for Unified Controllable Trajectory Generation Jianbo Zhao Taiyu Ban Xiyang Wang Qibin Zhou Hangning Zhou Zhihao Liu Mu Yang Lei Liu Bin Li 37 0 0 29 May 2025
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling Xiaolong Tang Meina Kan Shiguang Shan Xilin Chen 29 0 0 23 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 109 1 0 24 Apr 2025
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning Zhiyu Huang Xinshuo Weng Maximilian Igl Yuxiao Chen Yulong Cao Boris Ivanovic Marco Pavone Chen Lv 67 11 0 08 Oct 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction Zikang Zhou Haibo Hu Xinhong Chen Jianping Wang Nan Guan Kui Wu Yung-Hui Li Yu-Kai Huang Chun Jason Xue AI4CE 76 20 0 27 May 2024
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving Jie Cheng Ying-Cong Chen Qifeng Chen VLM 84 29 0 22 Apr 2024
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction Yang Zhou Hao Shao Letian Wang Steven L. Waslander Hongsheng Li Yu Liu 65 16 0 18 Mar 2024
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding Zhejun Zhang Alexander Liniger Daniel Gehrig Fisher Yu Luc Van Gool 76 34 0 19 Oct 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling Ari Seff Brian Cera Dian Chen Mason Ng Aurick Zhou Nigamaa Nayakanti Khaled S. Refaat Rami Al-Rfou Benjamin Sapp 57 102 0 28 Sep 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 57 48 0 21 Jun 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning D. Dauner Marcel Hallgarten Andreas Geiger Kashyap Chitta 54 124 0 13 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion C. Jiang Andre Cornman C. Park Benjamin Sapp Yin Zhou Drago Anguelov DiffM 85 140 0 05 Jun 2023
CCIL: Context-conditioned imitation learning for urban driving Ke Guo Wei Jing Junbo Chen Jia Pan 77 9 0 04 May 2023
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving Zhiyu Huang Haochen Liu Chen Lv OffRL 89 103 0 10 Mar 2023
From Prediction to Planning With Goal Conditioned Lane Graph Traversals Marcel Hallgarten Martin Stoll A. Zell AI4CE 59 33 0 15 Feb 2023
Planning-oriented Autonomous Driving Yi Hu Jiazhi Yang Li Chen Keyu Li Chonghao Sima ... Xiaosong Jia Qiang Liu Jifeng Dai Yu Qiao Hongyang Li 73 632 0 20 Dec 2022
PlanT: Explainable Planning Transformers via Object-Level Representations Katrin Renz Kashyap Chitta Otniel-Bogdan Mercea A. Sophia Koepke Zeynep Akata Andreas Geiger ViT 82 99 0 25 Oct 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement Shaoshuai Shi Li Jiang Dengxin Dai Bernt Schiele 86 236 0 27 Sep 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 50 12 0 24 Sep 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 162 318 0 31 May 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 84 243 0 09 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 874 12,916 0 04 Mar 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 84 165 0 18 Nov 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 63 109 0 27 Sep 2021
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 64 291 0 22 Jun 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
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 152 530 0 04 Feb 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan Sergio Casas Abbas Sadat R. Urtasun 3DV 92 230 0 18 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 176 229 0 17 Jan 2021
One Thousand and One Hours: Self-driving Motion Prediction Dataset J. Houston G. Zuidhof Luca Bergamini Yawei Ye Long Chen Ashesh Jain Sammy Omari V. Iglovikov Peter Ondruska 87 366 0 25 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 68 88 0 16 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 121 813 0 08 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 57 235 0 13 Mar 2020
Social Attention for Autonomous Decision-Making in Dense Traffic Edouard Leurent Jean Pierre Mercat 60 85 0 27 Nov 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 60 373 0 03 May 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
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 125 1,066 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 692 131,526 0 12 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,309 0 02 Dec 2016
Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon 47 149 0 26 May 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 90 3,406 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 216 3,216 0 02 Nov 2010