Deep reinforcement learning enabled self-learning control for energy efficient driving
暂无分享,去创建一个
Guoyuan Wu | Yadan Luo | Kanok Boriboonsomsin | Matthew Barth | Xuewei Qi | M. Barth | Guoyuan Wu | K. Boriboonsomsin | Xuewei Qi | Yadan Luo
[1] Guoyuan Wu,et al. Data-Driven Reinforcement Learning–Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles , 2016 .
[2] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[3] Alain Desrochers,et al. Fuzzy-based blended control for the energy management of a parallel plug-in hybrid electric vehicle , 2015 .
[4] Simona Onori,et al. Analysis of energy management strategies in plug-in hybrid electric vehicles: Application to the GM Chevrolet Volt , 2013, 2013 American Control Conference.
[5] Hongwen He,et al. Comparative Study on Different Energy Management Strategies for Plug-In Hybrid Electric Vehicles , 2013 .
[6] Dongpu Cao,et al. Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle , 2017, IEEE/ASME Transactions on Mechatronics.
[7] Yuan Zou,et al. Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation , 2017, PloS one.
[8] Chao Mao,et al. A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network , 2018 .
[9] Guoyuan Wu,et al. Development and Evaluation of an Evolutionary Algorithm-Based OnLine Energy Management System for Plug-In Hybrid Electric Vehicles , 2017, IEEE Transactions on Intelligent Transportation Systems.
[10] Naehyuck Chang,et al. Reinforcement learning based power management for hybrid electric vehicles , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
[11] Yuan Zou,et al. Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle , 2015 .
[12] Chunyue Song,et al. An energy management strategy for hybrid electric bus based on reinforcement learning , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).
[13] Satish V. Ukkusuri,et al. A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework , 2015 .
[14] Ozgur Baskan,et al. A modified reinforcement learning algorithm for solving coordinated signalized networks , 2015 .
[15] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[16] Otman Basir,et al. Range anxiety reduction in battery-powered vehicles , 2016, 2016 IEEE Transportation Electrification Conference and Expo (ITEC).
[17] Naehyuck Chang,et al. Machine learning-based energy management in a hybrid electric vehicle to minimize total operating cost , 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
[18] Satish V. Ukkusuri,et al. Accounting for dynamic speed limit control in a stochastic traffic environment: a reinforcement learning approach , 2014 .
[19] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[20] Zheng Chen,et al. Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming , 2014 .