Hado van Hasselt is affiliated with University College London in the United Kingdom. Their research primarily focuses on computer science, with a significant portion of their work concentrated in artificial intelligence. Additional subfields of their research include management science and operations research, electrical and electronic engineering, computational theory and mathematics, and computer vision and pattern recognition.
The scientist's main research topics cover a variety of areas related to machine learning and optimization techniques. These topics include reinforcement learning in robotics, data stream mining techniques, adversarial robustness in machine learning, domain adaptation and few-shot learning, advanced bandit algorithms research, smart grid energy management, and evolutionary algorithms and applications.
Hado van Hasselt has published extensively, with a notable number of papers appearing in the venue arXiv (Cornell University), followed by the Proceedings of the AAAI Conference on Artificial Intelligence and Nature. Recent papers include:
The scientist has frequently collaborated with several co-authors throughout their career. Notable co-authors include:
Hado van Hasselt;Arthur Guez;David Silver
Ziyu Wang;Tom Schaul;Matteo Hessel;Hado Van Hasselt
Matteo Hessel;Joseph Modayil;Hado van Hasselt;Tom Schaul
Hado V. Hasselt
Oriol Vinyals;Timo Ewalds;Sergey Bartunov;Petko Georgiev
Dan Horgan;John Quan;David Budden;Gabriel Barth-Maron
Andre Barreto;Will Dabney;Remi Munos;Jonathan J. Hunt
Hado van Hasselt;Marco Wiering
Hado P. van Hasselt
Harm van Seijen;Hado van Hasselt;Shimon Whiteson;Marco Wiering
M.A. Wiering;H. van Hasselt
David Silver;Hado van Hasselt;Matteo Hessel;Tom Schaul
Matteo Hessel;Hubert Soyer;Lasse Espeholt;Wojciech Czarnecki
Zhongwen Xu;Hado van Hasselt;David Silver
Hado van Hasselt;Arthur Guez;Matteo Hessel;Volodymyr Mnih
Hado van Hasselt;Yotam Doron;Florian Strub;Matteo Hessel
A. Rupam Mahmood;Hado P van Hasselt;Richard S Sutton
Tobias Pohlen;Bilal Piot;Todd Hester;Mohammad Gheshlaghi Azar
Hado P. van Hasselt;Matteo Hessel;John Aslanides
Ian Osband;Yotam Doron;Matteo Hessel;John Aslanides
If you think any of the details on this page are incorrect, let us know.
With the rise of digital education, pursuing a Computer Science career in the USA is more accessible than ever. Students can choose from a wide range of affordable, accredited online degrees and certifications that align with their interests and professional goals.
For those who want to broaden their technical expertise, exploring an online physics degree can provide a solid foundation in problem-solving and analytical thinking. If you are interested in interpreting and leveraging data, a data scientist degree from a U.S. institution opens doors to one of today’s fastest-growing tech fields.
Engineering enthusiasts can also consider enrolling in one of the top online electrical engineering schools for broader career options in technology and innovation.
Additionally, if you’re seeking a faster path to a lucrative career, there are a variety of quick certifications that pay well. These options allow learners to quickly gain marketable skills aligned with industry demands.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 31
King Abdullah University of Science and Technology
Nature Research Centre
Institut National de la Recherche Scientifique
Utrecht University
Indiana University
University of Trier
Yale University
Karolinska Institute
Lancaster University
University of Washington
Utrecht University
Chinese Academy of Sciences
National University of Río Cuarto
Stanford University
University of Saskatchewan