Driving in Dense Traffic with Model-Free Reinforcement Learning

15 September 2019

Papers citing "Driving in Dense Traffic with Model-Free Reinforcement Learning"

21 / 21 papers shown

Title
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 54 10 0 08 Jan 2024
Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness Jiaqi Liu Donghao Zhou Peng Hang Ying Ni Jian-jun Sun 42 17 0 18 Sep 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 34 336 0 17 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review Yining Shi Kun Jiang Jiusi Li Zelin Qian Jun Wen Mengmeng Yang Ke Wang Diange Yang 88 25 0 02 Mar 2023
SLAS: Speed and Lane Advisory System for Highway Navigation Faizan M. Tariq David Isele John S. Baras S. Bae 10 5 0 01 Mar 2023
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control Piyush Gupta David Isele Donggun Lee S. Bae 34 19 0 13 Jan 2023
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller Qianqian Liu Fengying Dang Xiaofan Wang Xiaoqiang Ren 22 13 0 03 Apr 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 24 24 0 17 Jan 2022
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios Kaiwen Liu Nan I. Li H. E. Tseng I. Kolmanovsky Anouck Girard 20 54 0 14 Dec 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 22 40 0 23 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning Peide Cai Sukai Wang Hengli Wang Ming-Yu Liu AI4TS 22 15 0 17 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments E. Kargar Ville Kyrki ViT 21 12 0 14 Sep 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming-Yu Liu GNN 32 39 0 11 Aug 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao Qi Yu Yu Kong FAtt 24 39 0 21 Jul 2021
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving Hengli Wang Peide Cai Rui Fan Yuxiang Sun Ming-Yu Liu 37 23 0 18 Apr 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 72 30 0 18 Jan 2021
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele K. Fujimura 11 61 0 09 Nov 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network Jiqian Dong Sikai Chen P. Ha Yujie Li S. Labi 13 37 0 12 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control Jiqian Dong Sikai Chen Yujie Li Runjia Du Aaron Steinfeld S. Labi 26 11 0 30 Sep 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,233 0 30 Nov 2018