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Spatiotemporal correlation modelling for machine learning-based traffic state predictions: state-of-the-art and beyond

Transport reviews, 2023-07, Vol.43 (4), p.780-804

2023

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Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2015-05, Vol.26 (5), p.889-902

2015

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Deep reinforcement learning for dynamic incident-responsive traffic information dissemination

Transportation research. Part E, Logistics and transportation review, 2022-10, Vol.166, p.102871, Article 102871

2022

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Modelling situation awareness for Context-aware Decision Support

Expert systems with applications, 2009, Vol.36 (1), p.455-463

2009

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Managing egress of crowd during infrastructure disruption

2016 Winter Simulation Conference (WSC), 2016, p.1316-1327

2016

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Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks

Learning and Intelligent Optimization, 2019, Vol.11353, p.98-114

2019

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Adaptive computer-generated forces for simulator-based training

Expert systems with applications, 2013-12, Vol.40 (18), p.7341-7353

2013

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Self-organizing neural models integrating rules and reinforcement learning

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.3771-3778

2008

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Self-Regulating Action Exploration in Reinforcement Learning

Procedia computer science, 2012, Vol.13, p.18-30

2012

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Function approximation for large markov decision processes using self-organizing neural networks

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

Teng, Teck-Hou

2015

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Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

Learning and Intelligent Optimization, p.187-202

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Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks

2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015, Vol.2, p.51-58

2015

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Self-organizing neural networks for learning air combat maneuvers

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8

2012

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Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning

2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2013, p.132-139

2013

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Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game

2014 International Joint Conference on Neural Networks (IJCNN), 2014, p.4229-4236

2014

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Predicting Indoor Crowd Density using Column-Structured Deep Neural Network

Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017, p.1-7

2017

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Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008, Vol.2, p.318-321

2008

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Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, Vol.3, p.190-197

2014

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A Computationally Efficient Formulation for Traffic Signal Timing Optimization of an Isolated Intersection

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022, Vol.1, p.821-826

2022

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Identification and tracking of dim moving targets in FLIR using artificial neural networks

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings, 2003, Vol.2, p.223-226 vol.2

2003

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Adaptive CGF for pilots training in air combat simulation

2012 15th International Conference on Information Fusion, 2012, p.2263-2270

2012

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Spatiotemporal correlation modelling for machine learning-based traffic state predictions: state-of-the-art and beyond

Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning

Deep reinforcement learning for dynamic incident-responsive traffic information dissemination

Modelling situation awareness for Context-aware Decision Support

Managing egress of crowd during infrastructure disruption

Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks

Adaptive computer-generated forces for simulator-based training

Self-organizing neural models integrating rules and reinforcement learning

Self-Regulating Action Exploration in Reinforcement Learning

Function approximation for large markov decision processes using self-organizing neural networks

Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks

Self-organizing neural networks for learning air combat maneuvers

Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning

Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game

Predicting Indoor Crowd Density using Column-Structured Deep Neural Network

Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support

Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning

A Computationally Efficient Formulation for Traffic Signal Timing Optimization of an Isolated Intersection

Identification and tracking of dim moving targets in FLIR using artificial neural networks

Adaptive CGF for pilots training in air combat simulation

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