Tim de Bruin - Concepedia

Author

Tim de Bruin

Also Known As

Geiger, Lukas, Tim de Bruin, de Bruin, T.D., de Bruin, Tim

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Tim de Bruin is an author at Delft University of Technology specializing in computer science, engineering, and machine learning.

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	598
2	Computer Science	5	5	598
3	Education	1	1	82
4	Cognitive Science	1	1	32
5	Computer Engineering	1	1	310

Tim de Bruin

Publications

Citations

H-Index

Page 1

	Year	Citations
Reinforcement learning for control: Performance, stability, and deep approximators Lucian Buşoniu, Tim de Bruin, Domagoj Tolić, Annual Reviews in Control Deep ApproximatorsDeep Reinforcement LearningLearning Control	2018	432
Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks Tim de Bruin, K. Verbert, Robert Babuška IEEE Transactions on Neural Networks and Learning Systems Fault DiagnosisConvolutional Neural NetworkEngineeringMachine LearningNeural Networks (Machine Learning)	2016	310
Integrating State Representation Learning Into Deep Reinforcement Learning Tim de Bruin, Jens Kober, Karl Tuyls, IEEE Robotics and Automation Letters Artificial IntelligenceEngineeringMachine LearningDeep ReinforcementDeep Reinforcement Learning	2018	117
The importance of experience replay database composition in deep reinforcement learning Tim de Bruin, Jens Kober, Karl Tuyls, Neural Information Processing Systems Artificial IntelligenceEngineeringMachine LearningData ScienceDeep Reinforcement Learning	2015	82
Experience selection in deep reinforcement learning for control Tim de Bruin, Jens Kober, Karl Tuyls, Journal of Machine Learning Research Artificial IntelligenceEngineeringMachine LearningDeep Reinforcement LearningStochastic Game	2018	57
Improved deep reinforcement learning for robotics through distribution-based experience retention Tim de Bruin, Jens Kober, Karl Tuyls, Artificial IntelligenceEngineeringMachine LearningDeep ReinforcementSequential Learning	2016	32

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