Marcus Hutter

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 108

Top Venues

Publications

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 (2024)
Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane
Evaluating Frontier Models for Dangerous Capabilities. CoRR (2024)
Amal Rannen-Triki, Jörg Bornschein, Razvan Pascanu, Marcus Hutter, András György, Alexandre Galashov, Yee Whye Teh, Michalis K. Titsias
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models. CoRR (2024)
Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter
Dynamic Knowledge Injection for AIXI Agents. AAAI (2024)
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)
Jonathon Schwartz, Hanna Kurniawati, Marcus Hutter
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments. CoRR (2023)
Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness
Self-Predictive Universal AI. NeurIPS (2023)
Yazhe Li, Jörg Bornschein, Marcus Hutter
Evaluating Representations with Readout Model Switching. CoRR (2023)
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 (2023)
Bryn Elesedy, Marcus Hutter
U-Clip: On-Average Unbiased Stochastic Gradient Clipping. CoRR (2023)
Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
Levin Tree Search with Context Models. CoRR (2023)
Laurent Orseau, Marcus Hutter
Line Search for Convex Minimization. CoRR (2023)
Yazhe Li, Jörg Bornschein, Marcus Hutter
Evaluating Representations with Readout Model Switching. ICLR (2023)
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)
Boumediene Hamzi, Marcus Hutter, Houman Owhadi
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning. CoRR (2023)
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 (2023)
Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter
Universal Agent Mixtures and the Geometry of Intelligence. CoRR (2023)
Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
Levin Tree Search with Context Models. IJCAI (2023)
Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
Distributional Bellman Operators over Mean Embeddings. CoRR (2023)
Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter
Universal Agent Mixtures and the Geometry of Intelligence. AISTATS (2023)
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)
Jörg Bornschein, Yazhe Li, Marcus Hutter
Sequential Learning of Neural Networks for Prequential MDL. ICLR (2023)
Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter
Dynamic Knowledge Injection for AIXI Agents. CoRR (2023)
Matthew Aitchison, Penny Sweetser, Marcus Hutter
Atari-5: Distilling the Arcade Learning Environment down to Five Games. ICML (2023)
Marcus Hutter, Steven Hansen
Uniqueness and Complexity of Inverse MDP Models. CoRR (2022)
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 (2022)
Michael K. Cohen, Marcus Hutter, Neel Nanda
Fully General Online Imitation Learning. J. Mach. Learn. Res. 23 (2022)
Jörg Bornschein, Yazhe Li, Marcus Hutter
Sequential Learning Of Neural Networks for Prequential MDL. CoRR (2022)
Tomer Galanti, András György, Marcus Hutter
On the Role of Neural Collapse in Transfer Learning. ICLR (2022)
Mary Phuong, Marcus Hutter
Formal Algorithms for Transformers. CoRR (2022)
Tomer Galanti, András György, Marcus Hutter
Generalization Bounds for Transfer Learning with Pretrained Classifiers. CoRR (2022)
Elliot Catt, Marcus Hutter, Joel Veness
Reinforcement Learning with Information-Theoretic Actuation. AGI (2022)
Matthew Aitchison, Penny Sweetser, Marcus Hutter
Atari-5: Distilling the Arcade Learning Environment down to Five Games. CoRR (2022)
Michael K. Cohen, Marcus Hutter, Michael A. Osborne
Advanced Artificial Agents Intervene in the Provision of Reward. AI Mag. 43 (3) (2022)
Marcus Hutter
Testing Independence of Exchangeable Random Variables. CoRR (2022)
Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega
Neural Networks and the Chomsky Hierarchy. CoRR (2022)
Michael K. Cohen, Badri N. Vellambi, Marcus Hutter
Intelligence and Unambitiousness Using Algorithmic Information Theory. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
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)
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 (2021)
Elliot Catt, Marcus Hutter, Joel Veness
Reinforcement Learning with Information-Theoretic Actuation. CoRR (2021)
Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Thomas S. Stepleton, Nicolas Heess, Arthur Guez, Eric Moulines, Marcus Hutter, Lars Buesing, Rémi Munos
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. ICML (2021)
Tom Everitt, Marcus Hutter, Ramana Kumar, Victoria Krakovna
Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective. Synth. 198 (27) (2021)
Sultan Javed Majeed, Marcus Hutter
Exact Reduction of Huge Action Spaces in General Reinforcement Learning. AAAI (2021)
Sultan Javed Majeed, Marcus Hutter
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions. CoRR (2021)
Samuel Allen Alexander, Marcus Hutter
Reward-Punishment Symmetric Universal Intelligence. AGI (2021)
Len Du, Marcus Hutter
How Useful are Hand-crafted Data? Making Cases for Anomaly Detection Methods. HICSS (2021)
Tomer Galanti, András György, Marcus Hutter
On the Role of Neural Collapse in Transfer Learning. CoRR (2021)
Marcus Hutter
Feature Reinforcement Learning: Part II. Structured MDPs. J. Artif. Gen. Intell. 12 (1) (2021)
Marcus Hutter
Learning Curve Theory. CoRR (2021)
Michael K. Cohen, Marcus Hutter, Neel Nanda
Fully General Online Imitation Learning. CoRR (2021)
Laurent Orseau, Marcus Hutter
Isotuning With Applications To Scale-Free Online Learning. CoRR (2021)
Michael K. Cohen, Badri N. Vellambi, Marcus Hutter
Intelligence and Unambitiousness Using Algorithmic Information Theory. CoRR (2021)
Samuel Allen Alexander, Marcus Hutter
Reward-Punishment Symmetric Universal Intelligence. CoRR (2021)
Michael K. Cohen, Elliot Catt, Marcus Hutter
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Sultan Javed Majeed, Marcus Hutter
Exact Reduction of Huge Action Spaces in General Reinforcement Learning. CoRR (2020)
Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness
A Combinatorial Perspective on Transfer Learning. NeurIPS (2020)
Michael K. Cohen, Marcus Hutter
Pessimism About Unknown Unknowns Inspires Conservatism. COLT (2020)
Laurent Orseau, Marcus Hutter, Omar Rivasplata
Logarithmic Pruning is All You Need. NeurIPS (2020)
Laurent Orseau, Marcus Hutter, Omar Rivasplata
Logarithmic Pruning is All You Need. CoRR (2020)
Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness
Online Learning in Contextual Bandits using Gated Linear Networks. CoRR (2020)
Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness
Online Learning in Contextual Bandits using Gated Linear Networks. NeurIPS (2020)
Marcus Hutter
On Representing (Anti)Symmetric Functions. CoRR (2020)
Michael K. Cohen, Marcus Hutter
Pessimism About Unknown Unknowns Inspires Conservatism. CoRR (2020)
Michael K. Cohen, Badri N. Vellambi, Marcus Hutter
Asymptotically Unambitious Artificial General Intelligence. AAAI (2020)
Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness
A Combinatorial Perspective on Transfer Learning. CoRR (2020)
Elliot Catt, Marcus Hutter
A Gentle Introduction to Quantum Computing Algorithms with Applications to Universal Prediction. CoRR (2020)
Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. CoRR (2020)
Michael K. Cohen, Marcus Hutter
Curiosity Killed the Cat and the Asymptotically Optimal Agent. CoRR (2020)
Marcus Hutter
Fairness without Regret. CoRR (2019)
Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed
Conditions on Features for Temporal Difference-Like Methods to Converge. IJCAI (2019)
Sultan Javed Majeed, Marcus Hutter
Performance Guarantees for Homomorphisms beyond Markov Decision Processes. AAAI (2019)
Tom Everitt, Marcus Hutter
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective. CoRR (2019)
Michael K. Cohen, Elliot Catt, Marcus Hutter
Strong Asymptotic Optimality in General Environments. CoRR (2019)
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter
Gated Linear Networks. CoRR (2019)
Michael K. Cohen, Elliot Catt, Marcus Hutter
A Strongly Asymptotically Optimal Agent in General Environments. IJCAI (2019)
Michael K. Cohen, Badri N. Vellambi, Marcus Hutter
Asymptotically Unambitious Artificial General Intelligence. CoRR (2019)
Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed
Conditions on Features for Temporal Difference-Like Methods to Converge. CoRR (2019)
Badri N. Vellambi, Cameron Owen, Marcus Hutter
Universal Compression of Piecewise i.i.d. Sources. DCC (2018)
Jan Leike, Marcus Hutter
On the computability of Solomonoff induction and AIXI. Theor. Comput. Sci. 716 (2018)
Marcus Hutter
Tractability of batch to sequential conversion. Theor. Comput. Sci. 733 (2018)
Badri N. Vellambi, Marcus Hutter
Convergence of Binarized Context-tree Weighting for Estimating Distributions of Stationary Sources. ISIT (2018)
Sultan Javed Majeed, Marcus Hutter
On Q-learning Convergence for Non-Markov Decision Processes. IJCAI (2018)
Sultan Javed Majeed, Marcus Hutter
Performance Guarantees for Homomorphisms Beyond Markov Decision Processes. CoRR (2018)
Tom Everitt, Gary Lea, Marcus Hutter
AGI Safety Literature Review. CoRR (2018)
Tom Everitt, Gary Lea, Marcus Hutter
AGI Safety Literature Review. IJCAI (2018)
Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter
Count-Based Exploration in Feature Space for Reinforcement Learning. CoRR (2017)
Sean Lamont, John Aslanides, Jan Leike, Marcus Hutter
Generalised Discount Functions applied to a Monte-Carlo AI u Implementation. AAMAS (2017)
Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
On Thompson Sampling and Asymptotic Optimality. IJCAI (2017)
Tobias Wängberg, Mikael Böörs, Elliot Catt, Tom Everitt, Marcus Hutter
A Game-Theoretic Analysis of the Off-Switch Game. CoRR (2017)
Tobias Wängberg, Mikael Böörs, Elliot Catt, Tom Everitt, Marcus Hutter
A Game-Theoretic Analysis of the Off-Switch Game. AGI (2017)
Sean Lamont, John Aslanides, Jan Leike, Marcus Hutter
Generalised Discount Functions applied to a Monte-Carlo AImu Implementation. CoRR (2017)
John Aslanides, Jan Leike, Marcus Hutter
Universal Reinforcement Learning Algorithms: Survey and Experiments. IJCAI (2017)
Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter
Count-Based Exploration in Feature Space for Reinforcement Learning. IJCAI (2017)
Tom Everitt, Victoria Krakovna, Laurent Orseau, Marcus Hutter, Shane Legg
Reinforcement Learning with a Corrupted Reward Channel. CoRR (2017)
John Aslanides, Jan Leike, Marcus Hutter
Universal Reinforcement Learning Algorithms: Survey and Experiments. CoRR (2017)
Jarryd Martin, Tom Everitt, Marcus Hutter
Death and Suicide in Universal Artificial Intelligence. AGI (2016)
Marcus Hutter
Extreme state aggregation beyond Markov decision processes. Theor. Comput. Sci. 650 (2016)
Daniel Filan, Jan Leike, Marcus Hutter
Loss Bounds and Time Complexity for Speed Priors. AISTATS (2016)
Basura Fernando, Peter Anderson, Marcus Hutter, Stephen Gould
Discriminative Hierarchical Rank Pooling for Activity Recognition. CVPR (2016)
Tom Everitt, Daniel Filan, Mayank Daswani, Marcus Hutter
Self-Modification of Policy and Utility Function in Rational Agents. AGI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcus Hutter