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ORCIDMarcus Hutter
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Publications
- 2025
[i182]Joel Veness, Marcus Hutter, András György, Jordi Grau-Moya:
Partition Tree Weighting for Non-Stationary Stochastic Bandits. CoRR abs/2502.19325 (2025)- 2024
- [c129]Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness:
Language Modeling Is Compression. ICLR 2024 - [c128]Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness:
Learning Universal Predictors. ICML 2024 - [i179]Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness:
Learning Universal Predictors. CoRR abs/2401.14953 (2024) - 2023
- [c124]Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega:
Neural Networks and the Chomsky Hierarchy. ICLR 2023 - [c121]Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness:
Memory-Based Meta-Learning on Non-Stationary Distributions. ICML 2023: 11173-11195 - [c119]Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness:
Self-Predictive Universal AI. NeurIPS 2023 - [i173]Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness:
Memory-Based Meta-Learning on Non-Stationary Distributions. CoRR abs/2302.03067 (2023) - [i167]Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness:
Language Modeling Is Compression. CoRR abs/2309.10668 (2023) - 2022
- [c118]Elliot Catt
, Marcus Hutter, Joel Veness:
Reinforcement Learning with Information-Theoretic Actuation. AGI 2022: 188-198 - [i160]Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega:
Beyond Bayes-optimality: meta-learning what you know you don't know. CoRR abs/2209.15618 (2022) - 2021
- [c115]Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. AAAI 2021: 10015-10023 - [i152]Elliot Catt, Marcus Hutter, Joel Veness:
Reinforcement Learning with Information-Theoretic Actuation. CoRR abs/2109.15147 (2021) - [i150]Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg:
Shaking the foundations: delusions in sequence models for interaction and control. CoRR abs/2110.10819 (2021) - 2020
- [c108]Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness:
Online Learning in Contextual Bandits using Gated Linear Networks. NeurIPS 2020 - [c107]Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness:
A Combinatorial Perspective on Transfer Learning. NeurIPS 2020 - [i146]Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness:
Online Learning in Contextual Bandits using Gated Linear Networks. CoRR abs/2002.11611 (2020) - [i140]Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness:
A Combinatorial Perspective on Transfer Learning. CoRR abs/2010.12268 (2020) - 2019
- [i132]Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. CoRR abs/1910.01526 (2019) - 2015
- [c88]Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins:
Compress and Control. AAAI 2015: 3016-3023 - [c80]Joel Veness, Marcus Hutter, Laurent Orseau, Marc G. Bellemare:
Online Learning of k-CNF Boolean Functions. IJCAI 2015: 3865-3873 - 2014
- [i112]Joel Veness, Marcus Hutter:
Online Learning of k-CNF Boolean Functions. CoRR abs/1403.6863 (2014) - [i106]Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins:
Compress and Control. CoRR abs/1411.5326 (2014) - 2012
- [c57]Joel Veness, Peter Sunehag, Marcus Hutter:
On Ensemble Techniques for AIXI Approximation. AGI 2012: 341-351 - [c52]Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling:
Context Tree Switching. DCC 2012: 327-336 - [i95]Joel Veness, Marcus Hutter:
Sparse Sequential Dirichlet Coding. CoRR abs/1206.3618 (2012) - 2011
- [j33]Joel Veness, Kee Siong Ng, Marcus Hutter, William T. B. Uther, David Silver:
A Monte-Carlo AIXI Approximation. J. Artif. Intell. Res. 40: 95-142 (2011) - [i84]Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling:
Context Tree Switching. CoRR abs/1111.3182 (2011) - 2010
- [c40]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver:
Reinforcement Learning via AIXI Approximation. AAAI 2010: 605-611 - [i78]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver:
Reinforcement Learning via AIXI Approximation. CoRR abs/1007.2049 (2010) - 2009
- [i69]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver:
A Monte Carlo AIXI Approximation. CoRR abs/0909.0801 (2009)
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last updated on 2025-06-27 18:35 CEST by the dblp team
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