Tim de Bruin

According to our database, Tim de Bruin authored at least 8 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks.

Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks.

Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen

CoRR, 2020

2019

Vision-based Navigation Using Deep Reinforcement Learning.

Jonas Kulhanek, Erik Derner, Tim de Bruin, Robert Babuska

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

Integrating State Representation Learning Into Deep Reinforcement Learning.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

IEEE Robotics Autom. Lett., 2018

Experience Selection in Deep Reinforcement Learning for Control.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

J. Mach. Learn. Res., 2018

Reinforcement learning for control: Performance, stability, and deep approximators.

Lucian Busoniu, Tim de Bruin, Domagoj Tolic, Jens Kober, Ivana Palunko

Annu. Rev. Control., 2018

2017

Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks.

Tim de Bruin, Kim Verbert, Robert Babuska

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Improved deep reinforcement learning for robotics through distribution-based experience retention.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016