Title
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation Keyu Chen Wenchao Sun Hao Cheng Sifa Zheng 38 0 0 06 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 49 0 0 24 Apr 2025
Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline Hui Zhou Shaoshuai Shi Hongsheng Li OffRL 27 0 0 20 Apr 2025
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking Farhad Nawaz Minjun Sung Darshan Gadginmath Jovin D'sa S. Bae David Isele Nadia Figueroa Nikolai Matni Faizan M. Tariq 75 0 0 17 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu I. Kolmanovsky Dimitar Filev 44 0 0 31 Mar 2025
VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making Mohamed Salim Aissi Clemence Grislain Mohamed Chetouani Olivier Sigaud Laure Soulier Nicolas Thome LRM 42 0 0 19 Mar 2025
High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects Jialong Xue Wei Gao Yu Wang Chao Ji Dongdong Zhao Shi Yan Shiwu Zhang 43 0 0 06 Mar 2025
Enhancing Autonomous Driving Safety with Collision Scenario Integration Zi Wang Shiyi Lan Xinglong Sun Nadine Chang Zhenxin Li Zhiding Yu Jose M. Alvarez 38 1 0 05 Mar 2025
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm H. Kim Kanghoon Lee J. Park Jiachen Li Jinkyoo Park 58 1 0 05 Mar 2025
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving Hamidreza Mirkhani Behzad Khamidehi Ehsan Ahmadi Fazel Arasteh Mohammed Elmahgiubi Weize Zhang Umar Rajguru Kasra Rezaee 52 0 0 03 Mar 2025
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Hao Gao Shaoyu Chen Bo Jiang Bencheng Liao Yiang Shi ... Xinbang Zhang Y. Zhang Wenyu Liu Qian Zhang Xinggang Wang 76 5 0 18 Feb 2025
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving Clémence Grislain Risto Vuorio Cong Lu Shimon Whiteson 24 1 0 07 Nov 2024
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving Minh Tri Huynh Duc Dung Nguyen OffRL 29 0 0 30 Oct 2024
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving Alexander Krentsel Peter Schafhalter Joseph E. Gonzalez Sylvia Ratnasamy S. Shenker Ion Stoica 23 0 0 21 Oct 2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations Matthias Bitzer Reinis Cimurs Benjamin Coors Johannes Goth Sebastian Ziesche Philipp Geiger Maximilian Naumann 27 0 0 21 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 72 0 0 13 Oct 2024
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving Zhenghao Peng Wenjie Luo Yiren Lu Tianyi Shen Cole Gulino Ari Seff Justin Fu 21 6 0 26 Sep 2024
Learning to Drive via Asymmetric Self-Play Chris Zhang Sourav Biswas Kelvin Wong Kion Fallah Lunjun Zhang Dian Chen Sergio Casas R. Urtasun 26 0 0 26 Sep 2024
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 52 4 0 16 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments Marc Heim Fráncisco Suarez-Ruiz Ishraq Bhuiyan Bruno Brito Momchil S. Tomov 34 1 0 14 Sep 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS Saman Kazemkhani Aarav Pandya Daphne Cornelisse Brennan Shacklett Eugene Vinitsky 29 7 0 02 Aug 2024
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments Shu Ishida João F. Henriques 32 0 0 26 Jul 2024
Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards Hyeokjin Kwon Gunmin Lee Junseo Lee Songhwai Oh 38 0 0 02 Jul 2024
Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang Chenran Li Catherine Weaver Kenta Kawamoto M. Tomizuka Chen Tang Wei Zhan OffRL 26 3 0 01 Jul 2024
LCSim: A Large-Scale Controllable Traffic Simulator Yuheng Zhang Tianjian Ouyang Fudan Yu Cong Ma Lei Qiao Jingtao Ding Jian Yuan Yong Li 46 2 0 28 Jun 2024
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting Hunter Schofield Hamidreza Mirkhani Mohammed Elmahgiubi Kasra Rezaee Jinjun Shan VGen 36 0 0 20 Jun 2024
Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving Guanzhou Li Jianping Wu Yujing He 30 0 0 19 Jun 2024
Sample-efficient Imitative Multi-token Decision Transformer for Generalizable Real World Driving Hang Zhou Dan Xu Yiding Ji OffRL 18 0 0 18 Jun 2024
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding Zhejun Zhang Christos Sakaridis Luc Van Gool 23 6 0 16 Jun 2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving Jonathan Booher Khashayar Rohanimanesh Junhong Xu Vladislav Isenbaev Ashwin Balakrishna Ishan Gupta Wei Liu Aleksandr Petiushko OffRL 24 6 0 13 Jun 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour OffRL 21 1 0 03 Jun 2024
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion Zhitian Zhang Anjian Li Angelica Lim Mo Chen 28 3 0 29 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters J. Lavington Ke Zhang Vasileios Lioutas Matthew Niedoba Yunpeng Liu ... Xiaoxuan Liang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank D. Wood 24 5 0 07 May 2024
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation Baotian He Yibing Li 29 0 0 29 Apr 2024
Shared learning of powertrain control policies for vehicle fleets Lindsey Kerbel B. Ayalew Andrej Ivanco 22 0 0 27 Apr 2024
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving Jie-Zhi Cheng Ying-Cong Chen Qifeng Chen VLM 54 23 0 22 Apr 2024
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories Hamidreza Mirkhani Behzad Khamidehi Kasra Rezaee 24 1 0 20 Apr 2024
WROOM: An Autonomous Driving Approach for Off-Road Navigation Dvij Kalaria Shreya Sharma Sarthak Bhagat Haoru Xue John M. Dolan 35 1 0 12 Apr 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning Luke Rowe Roger Girgis Anthony Gosselin Bruno Carrez Florian Golemo Felix Heide Liam Paull Christopher Pal 36 4 0 29 Mar 2024
Human-compatible driving partners through data-regularized self-play reinforcement learning Daphne Cornelisse Eugene Vinitsky 30 6 0 28 Mar 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation Ke Guo Zhenwei Miao Wei Jing Weiwei Liu Weizi Li Dayang Hao Jia Pan 33 8 0 26 Mar 2024
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games Shiqi Lei Kanghoon Lee Linjing Li Jinkyoo Park Jiachen Li OffRL 19 1 0 28 Feb 2024
A Quick Introduction to Quantum Machine Learning for Non-Practitioners Ethan N. Evans Dominic Byrne Matthew G. Cook 26 1 0 22 Feb 2024
LangProp: A code optimization framework using Large Language Models applied to driving Shu Ishida Gianluca Corrado George Fedoseev Hudson Yeo Lloyd Russell Jamie Shotton João F. Henriques Anthony Hu 34 11 0 18 Jan 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 17 9 0 06 Jan 2024
Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning Moritz Harmel Anubhav Paras Andreas Pasternak Nicholas Roy Gary Linscott LRM 21 1 0 23 Dec 2023
Trajeglish: Traffic Modeling as Next-Token Prediction Jonah Philion Xue Bin Peng Sanja Fidler 15 20 0 07 Dec 2023
Learning Realistic Traffic Agents in Closed-loop Chris Zhang James Tu Lunjun Zhang Kelvin Wong Simon Suo R. Urtasun 29 18 0 02 Nov 2023
Large Trajectory Models are Scalable Motion Predictors and Planners Q. Sun Shiduo Zhang Danjiao Ma Jingzhe Shi Derun Li Simian Luo Yu Wang Ningyi Xu Guangzhi Cao Hang Zhao 16 13 0 30 Oct 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino Justin Fu Wenjie Luo George Tucker Eli Bronstein ... Brandyn White Aleksandra Faust R. McAllister Drago Anguelov Benjamin Sapp 30 90 0 12 Oct 2023