Control of an Unmanned Surface Vehicle Based on Adaptive Dynamic Programming and Deep Reinforcement Learning

Unmanned Surface Vehicle ◽

Adaptive dynamic programming and deep reinforcement learning for the control of an unmanned surface vehicle: Experimental results

Control Engineering Practice ◽

10.1016/j.conengprac.2021.104807 ◽

2021 ◽

Vol 111 ◽

pp. 104807

Author(s):

Alejandro Gonzalez-Garcia ◽

David Barragan-Alcantar ◽

Ivana Collado-Gonzalez ◽

Leonardo Garrido

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

Experimental Results ◽

Unmanned Surface Vehicle ◽

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Section on Deep Reinforcement Learning and Adaptive Dynamic Programming

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2017.2655663 ◽

2017 ◽

Vol 28 (3) ◽

pp. 772-772

Keyword(s):

Neural Networks ◽

Dynamic Programming ◽

Reinforcement Learning ◽

Special Section ◽

Learning Systems ◽

2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

10.1109/adprl33730.2014 ◽

2014 ◽

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

10.1109/adprl18473.2011 ◽

2011 ◽

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

Ieee transactions on neural networks and learning systems special section on deep reinforcement learning and adaptive dynamic programming

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2608440 ◽

2016 ◽

Vol 27 (11) ◽

pp. 2454-2454

Keyword(s):

Neural Networks ◽

Dynamic Programming ◽

Reinforcement Learning ◽

Special Section ◽

Learning Systems ◽

Guest Editorial - Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2008.925890 ◽

2008 ◽

Vol 38 (4) ◽

pp. 896-897 ◽

Cited By ~ 38

Author(s):

F. L. Lewis ◽

Derong Liu ◽

George G. Lendaris

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

Feedback Control ◽

Guest Editorial ◽

Special Issue ◽

Adaptive Dynamic ◽

Editorial Special Issue

Multi-agent simulation-Adaptive dynamic programming based reinforcement learning for evaluating joint delivery systems in relation to the different locations of urban consolidation centres

Transportation Research Procedia ◽

10.1016/j.trpro.2020.03.172 ◽

2020 ◽

Vol 46 ◽

pp. 125-132 ◽

Cited By ~ 1

Author(s):

Nailah Firdausiyah ◽

Eiichi Taniguchi ◽

Ali Gul Qureshi

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

Delivery Systems ◽

Adaptive Dynamic ◽

Agent Simulation ◽

Multi Agent ◽

Urban Consolidation

Special issue on adaptive dynamic programming and reinforcement learning in feedback control

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2007.898666 ◽

2007 ◽

Vol 37 (3) ◽

pp. 751-751 ◽

Cited By ~ 1

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning ◽

Feedback Control ◽

Special Issue ◽

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) ◽

Enhancing supervisory training signals with environmental reinforcement learning using adaptive dynamic programming and artificial neural networks

10.1109/icci-cc.2016.7862056 ◽

2016 ◽

Author(s):

Niklas Melton ◽

Donald C. Wunsch

Keyword(s):

Neural Networks ◽

Dynamic Programming ◽

Artificial Neural Networks ◽

Reinforcement Learning ◽

Adaptive Dynamic ◽

Supervisory Training ◽

Artificial Neural

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Section on Deep Reinforcement Learning and Adaptive Dynamic Programming

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2640821 ◽

2017 ◽

Vol 28 (1) ◽

pp. 244-244

Keyword(s):

Neural Networks ◽

Dynamic Programming ◽

Reinforcement Learning ◽

Special Section ◽

Learning Systems ◽