| 2025 | UAI | RL, but don't do anything I wouldn't do. | Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell |
| 2024 | AAAI | Dynamic Knowledge Injection for AIXI Agents. | Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter |
| 2024 | ICLR | Language Modeling Is Compression. | Grgoire Deltang, 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 |
| 2024 | ICML | Learning Universal Predictors. | Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grgoire Deltang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness |
| 2024 | ICML | Distributional Bellman Operators over Mean Embeddings. | Li Kevin Wenliang, Grgoire Deltang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland |
| 2023 | AISTATS | Universal Agent Mixtures and the Geometry of Intelligence. | Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter |
| 2023 | ICLR | Sequential Learning of Neural Networks for Prequential MDL. | Jrg Bornschein, Yazhe Li, Marcus Hutter |
| 2023 | ICLR | Neural Networks and the Chomsky Hierarchy. | Grgoire Deltang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega |
| 2023 | ICLR | Evaluating Representations with Readout Model Switching. | Yazhe Li, Jrg Bornschein, Marcus Hutter |
| 2023 | ICML | Atari-5: Distilling the Arcade Learning Environment down to Five Games. | Matthew Aitchison, Penny Sweetser, Marcus Hutter |
| 2023 | ICML | Memory-Based Meta-Learning on Non-Stationary Distributions. | Tim Genewein, Grgoire Deltang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness |
| 2023 | IJCAI | Levin Tree Search with Context Models. | Laurent Orseau, Marcus Hutter, Levi H. S. Lelis |
| 2022 | ICLR | On the Role of Neural Collapse in Transfer Learning. | Tomer Galanti, Andrs Gyrgy, Marcus Hutter |
| 2021 | AAAI | Exact Reduction of Huge Action Spaces in General Reinforcement Learning. | Sultan Javed Majeed, Marcus Hutter |
| 2021 | AAAI | Gated Linear Networks. | Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter |
| 2021 | ICML | Counterfactual Credit Assignment in Model-Free Reinforcement Learning. | 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, Rmi Munos |
| 2020 | AAAI | Asymptotically Unambitious Artificial General Intelligence. | Michael K. Cohen, Badri N. Vellambi, Marcus Hutter |
| 2020 | COLT | Pessimism About Unknown Unknowns Inspires Conservatism. | Michael K. Cohen, Marcus Hutter |
| 2019 | AAAI | Performance Guarantees for Homomorphisms beyond Markov Decision Processes. | Sultan Javed Majeed, Marcus Hutter |
| 2019 | IJCAI | A Strongly Asymptotically Optimal Agent in General Environments. | Michael K. Cohen, Elliot Catt, Marcus Hutter |
| 2019 | IJCAI | Conditions on Features for Temporal Difference-Like Methods to Converge. | Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed |
| 2018 | DCC | Universal Compression of Piecewise i.i.d. Sources. | Badri N. Vellambi, Cameron Owen, Marcus Hutter |
| 2018 | IJCAI | AGI Safety Literature Review. | Tom Everitt, Gary Lea, Marcus Hutter |
| 2018 | IJCAI | On Q-learning Convergence for Non-Markov Decision Processes. | Sultan Javed Majeed, Marcus Hutter |
| 2018 | ISIT | Convergence of Binarized Context-tree Weighting for Estimating Distributions of Stationary Sources. | Badri N. Vellambi, Marcus Hutter |
| 2017 | IJCAI | Universal Reinforcement Learning Algorithms: Survey and Experiments. | John Aslanides, Jan Leike, Marcus Hutter |
| 2017 | IJCAI | On Thompson Sampling and Asymptotic Optimality. | Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter |
| 2017 | IJCAI | Count-Based Exploration in Feature Space for Reinforcement Learning. | Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter |
| 2016 | AISTATS | Loss Bounds and Time Complexity for Speed Priors. | Daniel Filan, Jan Leike, Marcus Hutter |
| 2016 | CVPR | Discriminative Hierarchical Rank Pooling for Activity Recognition. | Basura Fernando, Peter Anderson, Marcus Hutter, Stephen Gould |
| 2016 | UAI | Thompson Sampling is Asymptotically Optimal in General Environments. | Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter |
| 2015 | AAAI | Compress and Control. | Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins |
| 2015 | ALT | Solomonoff Induction Violates Nicod's Criterion. | Jan Leike, Marcus Hutter |
| 2015 | ALT | On the Computability of Solomonoff Induction and Knowledge-Seeking. | Jan Leike, Marcus Hutter |
| 2015 | COLT | Bad Universal Priors and Notions of Optimality. | Jan Leike, Marcus Hutter |
| 2015 | IJCAI | Online Learning of k-CNF Boolean Functions. | Joel Veness, Marcus Hutter, Laurent Orseau, Marc G. Bellemare |
| 2015 | UAI | On the Computability of AIXI. | Jan Leike, Marcus Hutter |
| 2014 | ACCV | Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces. | Srimal Jayawardena, Stephen Gould, Hongdong Li, Marcus Hutter, Richard I. Hartley |
| 2014 | ACML | Reinforcement learning with value advice. | Mayank Daswani, Peter Sunehag, Marcus Hutter |
| 2014 | ALT | Extreme State Aggregation beyond MDPs. | Marcus Hutter |
| 2014 | ALT | Offline to Online Conversion. | Marcus Hutter |
| 2014 | ALT | Bayesian Reinforcement Learning with Exploration. | Tor Lattimore, Marcus Hutter |
| 2014 | ALT | Indefinitely Oscillating Martingales. | Jan Leike, Marcus Hutter |
| 2014 | CEC | Free Lunch for optimisation under the universal distribution. | Tom Everitt, Tor Lattimore, Marcus Hutter |
| 2014 | CogSci | A Dual Process Theory of Optimistic Cognition. | Peter Sunehag, Marcus Hutter |
| 2014 | DICTA | Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences. | Di Yang, Srimal Jayawardena, Stephen Gould, Marcus Hutter |
| 2014 | ITW | Can we measure the difficulty of an optimization problem? | Tansu Alpcan, Tom Everitt, Marcus Hutter |
| 2013 | ACML | Q-learning for history-based reinforcement learning. | Mayank Daswani, Peter Sunehag, Marcus Hutter |
| 2013 | ALT | Concentration and Confidence for Discrete Bayesian Sequence Predictors. | Tor Lattimore, Marcus Hutter, Peter Sunehag |
| 2013 | ALT | Universal Knowledge-Seeking Agents for Stochastic Environments. | Laurent Orseau, Tor Lattimore, Marcus Hutter |
| 2013 | COLT | Sparse Adaptive Dirichlet-Multinomial-like Processes. | Marcus Hutter |
| 2013 | ICML | The Sample-Complexity of General Reinforcement Learning. | Tor Lattimore, Marcus Hutter, Peter Sunehag |
| 2013 | TAMC | On Martin-Lf Convergence of Solomonoff's Mixture. | Tor Lattimore, Marcus Hutter |
| 2012 | AAAI | Context Tree Maximizing. | Phuong Nguyen, Peter Sunehag, Marcus Hutter |
| 2012 | ACCV | A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation. | Di Yang, Stephen Gould, Marcus Hutter |
| 2012 | ALT | PAC Bounds for Discounted MDPs. | Tor Lattimore, Marcus Hutter |
| 2012 | AusDM | Coding of Non-Stationary Sources as a Foundation for Detecting Change Points and Outliers in Binary Time-Series. | Peter Sunehag, Wen Shao, Marcus Hutter |
| 2012 | DCC | Adaptive Context Tree Weighting. | Alexander O'Neill, Marcus Hutter, Wen Shao, Peter Sunehag |
| 2012 | DCC | Context Tree Switching. | Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling |
| 2011 | ALT | Asymptotically Optimal Agents. | Tor Lattimore, Marcus Hutter |
| 2011 | ALT | Time Consistent Discounting. | Tor Lattimore, Marcus Hutter |
| 2011 | ALT | Universal Prediction of Selected Bits. | Tor Lattimore, Marcus Hutter, Vaibhav Gavane |
| 2011 | ALT | Axioms for Rational Reinforcement Learning. | Peter Sunehag, Marcus Hutter |
| 2011 | DICTA | A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation. | Srimal Jayawardena, Marcus Hutter, Nathan Brewer |
| 2011 | DICTA | 3D Model Assisted Image Segmentation. | Srimal Jayawardena, Di Yang, Marcus Hutter |
| 2010 | AAAI | Reinforcement Learning via AIXI Approximation. | Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver |
| 2010 | ALT | Editors' Introduction. | Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann |
| 2010 | ALT | Consistency of Feature Markov Processes. | Peter Sunehag, Marcus Hutter |
| 2009 | IWANN | Bayesian Joint Estimation of CN and LOH Aberrations. | Paola M. V. Rancoita, Marcus Hutter, Francesco Bertoni, Ivo Kwee |
| 2009 | PAKDD | A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. | Ke Zhang, Marcus Hutter, Huidong Jin |
| 2008 | CEC | Equivalence of probabilistic tournament and polynomial ranking selection. | Kassel Hingee, Marcus Hutter |
| 2007 | ALT | Editors' Introduction. | Marcus Hutter, Rocco A. Servedio, Eiji Takimoto |
| 2007 | COLT | The Loss Rank Principle for Model Selection. | Marcus Hutter |
| 2007 | ISIT | On Sequence Prediction for Arbitrary Measures. | Daniil Ryabko, Marcus Hutter |
| 2006 | ALT | General Discounting Versus Average Reward. | Marcus Hutter |
| 2006 | ALT | Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. | Daniil Ryabko, Marcus Hutter |
| 2006 | IAS | Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. | Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jrgen Schmidhuber |
| 2006 | TAMC | On the Foundations of Universal Sequence Prediction. | Marcus Hutter |
| 2005 | AISTATS | Fast Non-Parametric Bayesian Inference on Infinite Trees. | Marcus Hutter |
| 2005 | ALT | Monotone Conditional Complexity Bounds on Future Prediction Errors. | Alexey V. Chernov, Marcus Hutter |
| 2005 | ALT | Defensive Universal Learning with Experts. | Jan Poland, Marcus Hutter |
| 2005 | GECCO | Fitness uniform deletion: a simple way to preserve diversity. | Shane Legg, Marcus Hutter |
| 2005 | IJCAI | A Universal Measure of Intelligence for Artificial Agents. | Shane Legg, Marcus Hutter |
| 2004 | ALT | Universal Convergence of Semimeasures on Individual Random Sequences. | Marcus Hutter, Andrej Muchnik |
| 2004 | ALT | Prediction with Expert Advice by Following the Perturbed Leader for General Weights. | Marcus Hutter, Jan Poland |
| 2004 | ALT | On the Convergence Speed of MDL Predictions for Bernoulli Sequences. | Jan Poland, Marcus Hutter |
| 2004 | CEC | Tournament versus fitness uniform selection. | Shane Legg, Marcus Hutter, Akshat Kumar |
| 2004 | COLT | Convergence of Discrete MDL for Sequential Prediction. | Jan Poland, Marcus Hutter |
| 2003 | ALT | On the Existence and Convergence of Computable Universal Priors. | Marcus Hutter |
| 2003 | COLT | Sequence Prediction Based on Monotone Complexity. | Marcus Hutter |
| 2003 | COLT | An Open Problem Regarding the Convergence of Universal A Priori Probability. | Marcus Hutter |
| 2003 | KI | Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection. | Marcus Hutter, Marco Zaffalon |
| 2002 | CEC | Fitness uniform selection to preserve genetic diversity. | Marcus Hutter |
| 2002 | COLT | Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures. | Marcus Hutter |
| 2002 | UAI | Robust Feature Selection by Mutual Information Distributions. | Marco Zaffalon, Marcus Hutter |
| 2001 | ICANN | Market-Based Reinforcement Learning in Partially Observable Worlds. | Ivo Kwee, Marcus Hutter, Jrgen Schmidhuber |
| 2001 | ICML | General Loss Bounds for Universal Sequence Prediction. | Marcus Hutter |