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Deep Reinforcement Learning based Vehicle Navigation amongst pedestrians using a Grid-based state representation*

机译：基于栅格的国家代表的深度加强基于行人的车辆导航*

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Niranjan Deshpande; Anne Spalanzani;
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1. Intelligent Autonomous Navigation of Car-Like Unmanned Ground Vehicle via Deep Reinforcement Learning [J] . Shathushan Sivashangaran, Minghui Zheng IFAC PapersOnLine . 2021,第20期

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2. Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach [J] . Nasernejad Payam, Sayed Tarek, Alsaleh Rushdi Accident Analysis and Prevention . 2021,第Octa期

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3. Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning [J] . Wan Zhiqiang, Jiang Chao, Fahad Muhammad, Cybernetics, IEEE Transactions on . 2020,第4期

机译：基于深度加强学习的机器人辅助行人调节
4. A 3D Simulation Environment and Navigation Approach for Robot Navigation via Deep Reinforcement Learning in Dense Pedestrian Environment [C] . Qi Liu, Yanjie Li, Lintao Liu IEEE International Conference on Automation Science and Engineering . 2020

机译：密集行人环境中通过深度强化学习进行机器人导航的3D仿真环境和导航方法
5. UAV Navigation, Tracking, and Interception Using Deep Reinforcement Learning [D] . Darwish, Ali A. 2020

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6. Navigation in Unknown Dynamic Environments Based on Deep Reinforcement Learning [O] . Junjie Zeng, Rusheng Ju, Long Qin, 2019

机译：基于深度强化学习的未知动态环境中的导航
7. Deep reinforcement learning based worker selection for distributed machine learning enhanced edge intelligence in internet of vehicles [O] . Junyu Dong, Wenjun Wu, Yang Gao, 2020

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Deep Reinforcement Learning based Vehicle Navigation amongst pedestrians using a Grid-based state representation*

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