Daan Wierstra is affiliated with DeepMind in the United Kingdom. Their work spans the field of computer science, with a focus on artificial intelligence, statistical and nonlinear physics, computer vision and pattern recognition, as well as computer science applications.
The scientist's research covers several main topics, including:
Wierstra's recent papers demonstrate engagement with problems in scheduling, embodied agents, and scalability in simulated environments. Notable publications include:
Frequent co-authors in Wierstra's work include:
Wierstra's publications are primarily found in arXiv, a platform known for preprints and early dissemination of research findings. This venue features three of their recorded publications.
The combination of Wierstra's research topics and publication record indicates a focus on integrating machine learning techniques with complex systems, particularly in environments requiring autonomous decision-making and instruction following. Their work also touches upon programming education within the context of artificial intelligence advancements.
Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Andrei A. Rusu
Timothy P. Lillicrap;Jonathan J. Hunt;Alexander Pritzel;Nicolas Heess
Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Alex Graves
Oriol Vinyals;Charles Blundell;Timothy Lillicrap;Koray Kavukcuoglu
Danilo Jimenez Rezende;Shakir Mohamed;Daan Wierstra
Peter W. Battaglia;Jessica B. Hamrick;Victor Bapst;Alvaro Sanchez-Gonzalez
David Silver;Guy Lever;Nicolas Heess;Thomas Degris
Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra
Karol Gregor;Ivo Danihelka;Alex Graves;Danilo Rezende
Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra
Adam Santoro;Sergey Bartunov;Matthew Botvinick;Daan Wierstra
Chrisantha Fernando;Dylan Banarse;Charles Blundell;Yori Zwols
D. Wierstra;T. Schaul;J. Peters;J. Schmidhuber
Daan Wierstra;Tom Schaul;Tobias Glasmachers;Yi Sun
S. M. Ali Eslami;Danilo Jimenez Rezende;Frederic Besse;Fabio Viola
Adam Santoro;Sergey Bartunov;Matthew Botvinick;Daan Wierstra
Jürgen Schmidhuber;Daan Wierstra;Matteo Gagliolo;Faustino Gomez
Sébastien Racanière;Theophane Weber;David P. Reichert;Lars Buesing
H. Mayer;F. Gomez;D. Wierstra;I. Nagy
Danilo J. Rezende;Shakir Mohamed;Ivo Danihelka;Karol Gregor
Karol Gregor;Ivo Danihelka;Andriy Mnih;Charles Blundell
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open new opportunities for those interested in computer science and related fields. There is a wide range of online degrees designed to accommodate busy schedules while still providing competitive career options.
For those seeking to enhance their qualifications quickly, one year masters programs are a popular choice. These accelerated courses let students gain advanced skills and credentials in less time, helping them fast-track into specialized tech roles or leadership positions.
If cost is a concern, numerous affordable online mba programs make it possible to gain business and management expertise without a significant financial burden. This knowledge complements technical skills and can help computer science graduates transition into managerial roles.
The rapid rise of artificial intelligence has led to an increasing demand for specialized expertise. Aspiring professionals can enroll in ai degrees that provide targeted training in this cutting-edge field, broadening their career horizons in one of tech’s fastest-growing sectors.
Bhabha Atomic Research Centre
Ponta Grossa State University
University of Namur
Lawrence Berkeley National Laboratory
University of Kentucky
University of Minnesota
University of Washington
University of Leeds
Hong Kong Baptist University
Universität Hamburg
Qatar University
United States Naval Research Laboratory
Purdue University West Lafayette
University of Sheffield
Boston University
University of Southern California
