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Multi-Level Deceleration Planning Based on Reinforcement Learning Algorithm for Autonomous Regenerative Braking of EV

机译：基于加强学习算法的多级减速规划，以实现EV的自主再生制动

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Kyunghan Min; Gyubin Sim; Seongju Ahn; Inseok Park; Seungjae Yoo; Jeamyoung Youn;
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年度 2019
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1. Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms [J] . Mortaza Zolfpour-Arokhlo, Ali Selamat, Siti Zaiton Mohd Hashim, Engineering Applications of Artificial Intelligence . 2014,第mara期

机译：基于Q值的动态规划与多智能体强化学习算法的路径规划系统建模
2. Relevant experience learning:A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments [J] . Zijian HU, Xiaoguang GAO, Kaifang WAN, 中国航空学报（英文版） . 2021,第012期

机译：相关体验学习：复杂未知环境中无人机自主运动规划的深度加强学习方法
3. Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms [J] . Naohisa HASHIMOTO, Ali BOYALI, Shin KATO, 電子情報通信学会技術研究報告. 画像工学. Image Engineering . 2017,第432期

机译：用于人工智能训练和加固学习算法的自主购物车舰队随机离散事件仿真环境
4. An Optimal Vehicle Speed Planning Algorithm for Regenerative Braking at Traffic Lights Intersections based on Reinforcement Learning [C] . Yuchuan Zhang, Hui Xie, Kang Song CAA International Conference on Vehicular Control and Intelligence . 2020

机译：基于加固学习的交通灯交叉口再生制动的最优车速规划算法
5. Multi-level Evolutionary Algorithms resource allocation utilizing model-based systems engineering. [D] . Poreddy, Bhanuchander Reddy. 2016

机译：利用基于模型的系统工程进行多级进化算法资源分配。
6. Deceleration Planning Algorithm Based on Classified Multi-Layer Perceptron Models for Smart Regenerative Braking of EV in Diverse Deceleration Conditions [O] . Gyubin Sim, Kyunghan Min, Seongju Ahn, 2019

机译：基于分类多层感知器模型的减速规划算法在不同减速条件下电动汽车的智能再生制动
7. Vehicle Deceleration Prediction Model to Reflect Individual Driver Characteristics by Online Parameter Learning for Autonomous Regenerative Braking of Electric Vehicles [O] . Kyunghan Min, Gyubin Sim, Seongju Ahn, 2019

机译：车辆减速预测模型通过在线参数学习来反映各个驾驶员特征，用于电动汽车的自主再生制动

Multi-Level Deceleration Planning Based on Reinforcement Learning Algorithm for Autonomous Regenerative Braking of EV

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