← Authors

Marcus Hutter

44 papers · 2003–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (22) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (13) 🌟 Keyword Trendsetter Combo (5) 🐺 Lone Wolf (3) πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (165) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (44)

Conferences

IJCAI (9) ICML (6) NIPS (6) AAAI (5) ICLR (5) JMLR (4) COLT (3) ACML (2) AISTATS (2) CVPR (1) UAI (1)

Top co-authors

Joel Veness (9) Laurent Orseau (7) Elliot Catt (6) GrΓ©goire DelΓ©tang (6) Matthew Aitchison (5) Anian Ruoss (5) Jordi Grau-moya (5) Li Kevin Wenliang (5) Tim Genewein (5) Peter Sunehag (4)

Research topics

Applications (1)

Keywords

reinforcement learning (11) online learning (5) bayesian inference (4) sequence prediction (3) markov decision process (3) learning theory (3) risk management (2) credit assignment (2) stochastic environment (2) temporal difference learning (2) information theory (2) uncertainty estimation (2) ai safety (2) convergence analysis (2) imitation learning (2) probabilistic modeling (2) catastrophic forgetting (2) policy learning (2) stochastic process (2) artificial general intelligence (2)

Papers

RL, but don’t do anything I wouldn’t do UAI 2025
Dynamic Knowledge Injection for AIXI Agents AAAI 2024
Distributional Bellman Operators over Mean Embeddings ICML 2024
Learning Universal Predictors ICML 2024
Language Modeling Is Compression ICLR 2024
Levin Tree Search with Context Models IJCAI 2023
Self-Predictive Universal AI NIPS 2023
Universal Agent Mixtures and the Geometry of Intelligence AISTATS 2023
Evaluating Representations with Readout Model Switching ICLR 2023
Sequential Learning of Neural Networks for Prequential MDL ICLR 2023
Neural Networks and the Chomsky Hierarchy ICLR 2023
Atari-5: Distilling the Arcade Learning Environment down to Five Games ICML 2023
Memory-Based Meta-Learning on Non-Stationary Distributions ICML 2023
Fully General Online Imitation Learning JMLR 2022
On the Role of Neural Collapse in Transfer Learning ICLR 2022
Exact Reduction of Huge Action Spaces in General Reinforcement Learning AAAI 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Gated Linear Networks AAAI 2021
Logarithmic Pruning is All You Need NIPS 2020
A Combinatorial Perspective on Transfer Learning NIPS 2020
Pessimism About Unknown Unknowns Inspires Conservatism COLT 2020
Asymptotically Unambitious Artificial General Intelligence AAAI 2020
Online Learning in Contextual Bandits using Gated Linear Networks NIPS 2020
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019
A Strongly Asymptotically Optimal Agent in General Environments IJCAI 2019
On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018
AGI Safety Literature Review IJCAI 2018
On Thompson Sampling and Asymptotic Optimality IJCAI 2017
Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017
Universal Reinforcement Learning Algorithms: Survey and Experiments IJCAI 2017
Loss Bounds and Time Complexity for Speed Priors AISTATS 2016
Discriminative Hierarchical Rank Pooling for Activity Recognition CVPR 2016
Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015
Online Learning of k-CNF Boolean Functions IJCAI 2015
Bad Universal Priors and Notions of Optimality COLT 2015
Reinforcement learning with value advice ACML 2014
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
The Sample-Complexity of General Reinforcement Learning ICML 2013
Q-learning for history-based reinforcement learning ACML 2013
Discrete MDL Predicts in Total Variation NIPS 2009
Temporal Difference Updating without a Learning Rate NIPS 2007
Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003