Reinforcement learning approach for optimal control of multiple electric locomotives in a heavy-haul freight train:A Double-Switch-Q-network architecture

Knowledge-Based Systems ◽

10.1016/j.knosys.2019.105173 ◽

2020 ◽

Vol 190 ◽

pp. 105173 ◽

Author(s):

Huiyue Tang ◽

Yuan Wang ◽

Xiang Liu ◽

Xiaoyun Feng

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Network Architecture ◽

Learning Approach ◽

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Data-driven dynamic multi-objective optimal control: A Hamiltonian-inequality driven satisficing reinforcement learning approach

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2275 ◽

2020 ◽

Vol 53 (2) ◽

pp. 8070-8075

Author(s):

Majid Mazouchi ◽

Yongliang Yang ◽

Hamidreza Modares

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Data Driven ◽

Learning Approach ◽

Multi Objective

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A reinforcement learning approach to on-line optimal control

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) ◽

10.1109/icnn.1994.374607 ◽

2002 ◽

Author(s):

P.E. An ◽

S. Aslam-Mir ◽

M. Brown ◽

C.J. Harris

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Learning Approach ◽

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A Reinforcement Learning Approach for Optimization of Chemotherapy and its Application in Optimal Control

Annals of Oncology ◽

10.1016/s0923-7534(20)33963-6 ◽

2012 ◽

Vol 23 ◽

pp. ix459

Author(s):

A. Fani Pakdel ◽

M. Rezazadeh ◽

M. Naghiby Sustany

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Learning Approach

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Data-driven Optimal Control Strategy for Virtual Synchronous Generator via Deep Reinforcement Learning Approach

Journal of Modern Power Systems and Clean Energy ◽

10.35833/mpce.2020.000267 ◽

2021 ◽

Vol 9 (4) ◽

pp. 919-929

Author(s):

Yushuai Li ◽

Wei Gao ◽

Weihang Yan ◽

Shuo Huang ◽

Rui Wang ◽

...

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Control Strategy ◽

Synchronous Generator ◽

Data Driven ◽

Learning Approach ◽

Optimal Control Strategy ◽

Virtual Synchronous Generator

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A Model-Based Reinforcement Learning Approach to Time-Optimal Control Problems

Lecture Notes in Computer Science - Advances and Trends in Artificial Intelligence. From Theory to Practice ◽

10.1007/978-3-030-22999-3_56 ◽

2019 ◽

pp. 657-665

Author(s):

Hsuan-Cheng Liao ◽

Jing-Sin Liu

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Optimal Control Problems ◽

Time Optimal Control ◽

Control Problems ◽

Learning Approach ◽

Model Based ◽

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H∞ optimal control of unknown linear discrete-time systems: An off-policy reinforcement learning approach

2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) ◽

10.1109/iccis.2015.7274545 ◽

2015 ◽

Author(s):

Bahare Kiumarsi ◽

Hamidreza Modares ◽

Frank L. Lewis ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Discrete Time ◽

Learning Approach ◽

Discrete Time Systems ◽

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Automated optimal control in energy systems: the reinforcement learning approach

New Technologies for Power System Operation and Analysis ◽

10.1016/b978-0-12-820168-8.00015-8 ◽

2021 ◽

pp. 275-318

Author(s):

Xiangyu Zhang ◽

Huaiguang Jiang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Energy Systems ◽

Learning Approach

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Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3072571 ◽

2021 ◽

pp. 1-11

Author(s):

Majid Mazouchi ◽

Yongliang Yang ◽

Hamidreza Modares

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Data Driven ◽

Learning Approach ◽

Multiobjective Optimal Control

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Integrated optimal control strategies for freeway traffic mixed with connected automated vehicles: A model-based reinforcement learning approach

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2021.102987 ◽

2021 ◽

Vol 123 ◽

pp. 102987

Author(s):

Tianlu Pan ◽

Renzhong Guo ◽

William H.K. Lam ◽

Renxin Zhong ◽

Weixi Wang ◽

...

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Control Strategies ◽

Learning Approach ◽

Automated Vehicles ◽

Freeway Traffic ◽

Model Based ◽

Connected Automated Vehicles

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Service Chaining Offloading Decision in the EdgeAI: A Deep Reinforcement Learning Approach

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) ◽

10.23919/apnoms50412.2020.9237048 ◽

2020 ◽

Author(s):

Minkyun Lee ◽

Choong Seon Hong

Keyword(s):

Reinforcement Learning ◽

Learning Approach

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