Reinforcement learning

Reinforcement learning

Brunton Lab, University of Washington

Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn to interact with their environment.

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PhD Rodrigo Castellanos
Dr. Saurav Bandyopadhyay
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Brunton Lab
Brunton Lab
Prof.
Steven L. Brunton
University of Washington
University of Washington
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PhD
Rodrigo Castellanos
Universidad Carlos III de Madrid
Universidad Carlos III de Madrid
Dr.
Saurav Bandyopadhyay
Intel (United States)
Intel (United States)
Dr
Marc Montagnac
ISAE-SUPAERO
Dr
Seo Yoon JUNG
Korea Atomic Energy Research Institute
Korea Atomic Energy Research Institute
Hakan Dogan
University of Bath
University of Bath
C Stevenson CISSP ISSMP, Eng, PMO, Adv. Mfg.
Columbia University
Columbia University
Dinorego
Tshwane University of Technology
Tshwane University of Technology
Raj Bhattacherjee
Max Planck Institute for Physics
Max Planck Institute for Physics
Yusuf Al_jamaly
Sana'a University
Werisson Ernesto
Universidade Federal de Goiás
Neli Zlatareva
Central Connecticut State University
Central Connecticut State University
Enrique Conchs
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Hassen Bentaher
Institute of Electrical and Electronics Engineers
Institute of Electrical and Electronics Engineers
Eng
Maged Adel
Brunel University of London
Brunel University of London