Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

30 October 2018

Papers citing "Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving"

26 / 26 papers shown

Title
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 151 5 0 21 Jun 2024
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQRIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023 Der-Hau Lee 90 5 0 28 Nov 2023
Risk-sensitive Markov Decision Process and Learning under General Utility FunctionsSocial Science Research Network (SSRN), 2023 Zhengqi Wu Renyuan Xu 172 4 0 22 Nov 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023 Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 350 152 0 21 Aug 2023
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller Yining Ma Qadeer Ahmad Khan Zorah Lähner 108 7 0 31 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement LearningIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023 Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 313 7 0 16 Jul 2023
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement LearningPeerJ Computer Science (PeerJ Comput. Sci.), 2023 Ana Carrasco J. Sequeira 95 4 0 09 Jan 2023
NashAE: Disentangling Representations through Adversarial Covariance MinimizationEuropean Conference on Computer Vision (ECCV), 2022 Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 176 13 0 21 Sep 2022
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles Der-Hau Lee 228 6 0 15 Sep 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach Edoardo Ghignone Nicolas Baumann Mike Boss Michele Magno 212 19 0 19 May 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 233 47 0 31 Mar 2022
Lateral Ego-Vehicle Control without Supervision using Point CloudsInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2022 F. Mueller Qadeer Ahmad Khan Zorah Lähner 3DPC 80 1 0 20 Mar 2022
Multi-task UNet architecture for end-to-end autonomous driving Der-Hau Lee Jinn-Liang Liu 135 1 0 16 Dec 2021
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosIEEE Symposium Series on Computational Intelligence (SSCI), 2021 Yuqi Liu Qichao Zhang Dongbin Zhao OffRL 197 13 0 22 Sep 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles Fei Ye Shen Zhang Pin Wang Ching-yao Chan 238 60 0 29 May 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 137 44 0 14 Mar 2021
Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents X. Shang Jinping Yang Bingquan Zhu Ye Lin Jing Zhang Jianping Xu Qin Lyu R. Diao AI4CE 88 0 0 16 Feb 2021
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 329 56 0 15 Oct 2020
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown EnvironmentIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Haoran Li Qichao Zhang Dongbin Zhao 179 216 0 23 Jul 2020
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach Guannan Qu Chenkai Yu S. Low Adam Wierman 119 19 0 12 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average RewardNeural Information Processing Systems (NeurIPS), 2020 Guannan Qu Yiheng Lin Adam Wierman Na Li 144 81 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked SystemsNeural Information Processing Systems (NeurIPS), 2020 Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 254 43 0 11 Jun 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 776 531 0 30 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Youssef Attia El Hili Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 271 223 0 23 Dec 2019
Deep learning approach to control of prosthetic hands with electromyography signals Mohsen Jafarzadeh Daniel Curtiss Hussey Yonas T. Tadesse 89 36 0 21 Sep 2019
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints Junjie Wang Qichao Zhang Dongbin Zhao Yaran Chen 158 136 0 30 Mar 2019