A Tractable Algorithm for Finite-Horizon Continuous Reinforcement Learning

2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS) ◽

10.1109/icoias.2019.00018 ◽

2019 ◽

Author(s):

Phanideep Gampa ◽

Sairam Satwik Kondamudi ◽

Lakshmanan Kailasam

Keyword(s):

Reinforcement Learning ◽

Finite Horizon ◽

Continuous Reinforcement

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Continuous Reinforcement Learning Based Energy Management Strategy for Hybrid Electric Tracked Vehicles

IEEE Journal of Emerging and Selected Topics in Power Electronics ◽

10.1109/jestpe.2021.3135059 ◽

2021 ◽

pp. 1-1

Author(s):

Ruoyan Han ◽

Renzong Lian ◽

Hongwen He ◽

Xuefeng Han

Keyword(s):

Reinforcement Learning ◽

Energy Management ◽

Management Strategy ◽

Energy Management Strategy ◽

Continuous Reinforcement ◽

Tracked Vehicles ◽

Hybrid Electric

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Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning

International Journal of Systems Science ◽

10.1080/00207721.2020.1797223 ◽

2020 ◽

Vol 51 (13) ◽

pp. 2429-2440

Author(s):

Jingang Zhao ◽

Minggang Gan

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Finite Horizon ◽

Uncertain Nonlinear Systems

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Continuous Reinforcement Learning With Knowledge-Inspired Reward Shaping for Autonomous Cavity Filter Tuning

2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) ◽

10.1109/cbs.2018.8612197 ◽

2018 ◽

Author(s):

Zhiyang Wang ◽

Yongsheng Ou ◽

Xinyu Wu ◽

Wei Feng

Keyword(s):

Reinforcement Learning ◽

Continuous Reinforcement ◽

Filter Tuning ◽

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Dynamic selective maintenance optimization for multi-state systems over a finite horizon: A deep reinforcement learning approach

European Journal of Operational Research ◽

10.1016/j.ejor.2019.10.049 ◽

2020 ◽

Vol 283 (1) ◽

pp. 166-181 ◽

Author(s):

Yu Liu ◽

Yiming Chen ◽

Tao Jiang

Keyword(s):

Reinforcement Learning ◽

Finite Horizon ◽

Maintenance Optimization ◽

Learning Approach ◽

Selective Maintenance

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Deep Reinforcement Learning Based Finite-Horizon Optimal Control for a Discrete-Time Affine Nonlinear System

2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) ◽

10.23919/sice.2018.8492653 ◽

2018 ◽

Author(s):

Jong Woo Kim ◽

Byung Jun Park ◽

Haeun Yoo ◽

Jay H. Lee ◽

Jong Min Lee

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear System ◽

Discrete Time ◽

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Towards Online Continuous Reinforcement Learning on Industrial Internet of Things

10.1109/swc50871.2021.00046 ◽

2021 ◽

Author(s):

Cheng Qian ◽

Wei Yu ◽

Xing Liu ◽

David Griffith ◽

Nada Golmie

Keyword(s):

Reinforcement Learning ◽

Internet Of Things ◽

Industrial Internet Of Things ◽

Continuous Reinforcement ◽

Industrial Internet

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A continuous reinforcement learning strategy for closed-loop control in fluid dynamics

35th AIAA Applied Aerodynamics Conference ◽

10.2514/6.2017-3566 ◽

2017 ◽

Author(s):

Charles Pivot ◽

Laurent Cordier ◽

Lionel Mathelin

Keyword(s):

Fluid Dynamics ◽

Reinforcement Learning ◽

Closed Loop ◽

Learning Strategy ◽

Closed Loop Control ◽

Continuous Reinforcement ◽

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Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran

Advanced Engineering Informatics ◽

10.1016/j.aei.2018.08.002 ◽

2018 ◽

Vol 38 ◽

pp. 639-655 ◽

Author(s):

Mohammad Aslani ◽

Stefan Seipel ◽

Mohammad Saadi Mesgari ◽

Marco Wiering

Keyword(s):

Reinforcement Learning ◽

Robustness Analysis ◽

Traffic Signal ◽

Signal Optimization ◽

Continuous Reinforcement

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Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot

Machine Learning and Robot Perception - Studies in Computational Intelligence ◽

10.1007/11504634_4 ◽

2005 ◽

pp. 137-165

Author(s):

Ma Jesús López Boada ◽

Ramón Barber ◽

Verónica Egido ◽

Miguel Ángel Salichs

Keyword(s):

Reinforcement Learning ◽

Mobile Robot ◽

Learning Algorithm ◽

Autonomous Mobile Robot ◽

Continuous Reinforcement ◽

Skills Learning ◽

Reinforcement Learning Algorithm

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Graph based skill acquisition and transfer Learning for continuous reinforcement learning domains

Pattern Recognition Letters ◽

10.1016/j.patrec.2016.08.009 ◽

2017 ◽

Vol 87 ◽

pp. 104-116 ◽

Author(s):

Farzaneh Shoeleh ◽

Masoud Asadpour

Keyword(s):

Reinforcement Learning ◽

Transfer Learning ◽

Skill Acquisition ◽

Continuous Reinforcement ◽

Learning Domains

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