Marcus Hutter is affiliated with DeepMind in the United Kingdom and specializes in computer science with a focus on artificial intelligence. Their scholarly output encompasses a range of subfields including artificial intelligence, computational theory and mathematics, management science and operations research, statistical and nonlinear physics, and safety research.
Their research primarily covers topics such as reinforcement learning in robotics, machine learning and algorithms, domain adaptation and few-shot learning, neural networks and applications, evolutionary algorithms and applications, computability and logic related to AI algorithms, and advanced bandit algorithms research.
Hutter has contributed to a considerable number of publications, often collaborating with researchers such as Joel Veness, Elliot Catt, Michael K. Cohen, Grégoire Delétang, and Jordi Grau-Moya. These collaborations have resulted in multiple works across several reputable venues.
Recent papers authored or co-authored by Marcus Hutter include:
The main publication venues include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, AI Magazine, Physica D Nonlinear Phenomena, and IEEE Journal on Selected Areas in Information Theory.
Shane Legg;Marcus Hutter
Marcus Hutter
Shane Legg;Marcus Hutter
Ke Zhang;Marcus Hutter;Huidong Jin
Joel Veness;Kee Siong Ng;Marcus Hutter;William Uther
Basura Fernando;Peter Anderson;Marcus Hutter;Stephen Gould
Marco Zaffalon;Marcus Hutter
Tor Lattimore;Marcus Hutter
Samuel Rathmanner;Marcus Hutter
Marcus Hutter
M. Hutter
Marcus Hutter;Marcus Hutter
Tom Everitt;Gary Lea;Marcus Hutter
M. Hutter;S. Legg
Marcus Hutter
Unknown
Paola M V Rancoita;Paola M V Rancoita;Marcus Hutter;Francesco Bertoni;Ivo Kwee
Shane Legg;Marcus Hutter
Jarryd Martin;Suraj Narayanan Sasikumar;Tom Everitt;Marcus Hutter
Marcus Hutter;Jan Poland
J Veness;KS Ng;M Hutter;D Silver
Marcus Hutter
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 17
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