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Intelligence and Unambitiousness Using Algorithmic Information Theory


May 13, 2021
Michael K. Cohen, Badri Vellambi, Marcus Hutter

* Journal of Selected Areas in Information Theory 2 (2021) 
* 13 pages, 6 figures, 5-page appendix. arXiv admin note: text overlap with arXiv:1905.12186 

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Fully General Online Imitation Learning


Feb 17, 2021
Michael K. Cohen, Marcus Hutter, Neel Nanda

* 13 pages with 8-page appendix 

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Learning Curve Theory


Feb 08, 2021
Marcus Hutter

* 26 pages, 6 Figures 

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Exact Reduction of Huge Action Spaces in General Reinforcement Learning


Dec 18, 2020
Sultan Javed Majeed, Marcus Hutter

* A variant of this paper was presented at the AAAI-2021 proceedings 

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Counterfactual Credit Assignment in Model-Free Reinforcement Learning


Nov 18, 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


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A Combinatorial Perspective on Transfer Learning


Oct 23, 2020
Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness


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On Representing (Anti)Symmetric Functions


Jul 30, 2020
Marcus Hutter

* 22 pages, 1 table 

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Logarithmic Pruning is All You Need


Jun 22, 2020
Laurent Orseau, Marcus Hutter, Omar Rivasplata


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Pessimism About Unknown Unknowns Inspires Conservatism


Jun 15, 2020
Michael K. Cohen, Marcus Hutter

* 12 pages, plus 16-page appendix; to be published in COLT 2020 proceedings 

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Curiosity Killed the Cat and the Asymptotically Optimal Agent


Jun 05, 2020
Michael K. Cohen, Marcus Hutter

* 8 pages, with 4 page appendix; 1 figure 

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Online Learning in Contextual Bandits using Gated Linear Networks


Feb 21, 2020
Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness


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Gated Linear Networks


Sep 30, 2019
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter

* arXiv admin note: substantial text overlap with arXiv:1712.01897 

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Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective


Aug 20, 2019
Tom Everitt, Marcus Hutter


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Fairness without Regret


Jul 11, 2019
Marcus Hutter

* 11 pages, 2 figures, 1 table, keywords: utility, objective, optimal, fair/equitable/just, cost/regret, uncertainty 

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Asymptotically Unambitious Artificial General Intelligence


May 29, 2019
Michael K Cohen, Badri Vellambi, Marcus Hutter

* 13 pages with 4 figures; 14 page Appendix with 2 figures 

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Conditions on Features for Temporal Difference-Like Methods to Converge


May 28, 2019
Marcus Hutter, Samuel Yang-Zhao, Sultan J. Majeed

* 13 pages, 6 figures 

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Strong Asymptotic Optimality in General Environments


Mar 04, 2019
Michael K. Cohen, Elliot Catt, Marcus Hutter

* 6 pages, 3 figures 

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Performance Guarantees for Homomorphisms Beyond Markov Decision Processes


Nov 09, 2018
Sultan Javed Majeed, Marcus Hutter


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AGI Safety Literature Review


May 21, 2018
Tom Everitt, Gary Lea, Marcus Hutter

* Published in International Joint Conference on Artificial Intelligence (IJCAI), 2018 

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A Topological Approach to Meta-heuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem


Apr 12, 2018
Tom Everitt, Marcus Hutter

* Main results published in 28th Australian Joint Conference on Artificial Intelligence, 2015 

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Reinforcement Learning with a Corrupted Reward Channel


Aug 19, 2017
Tom Everitt, Victoria Krakovna, Laurent Orseau, Marcus Hutter, Shane Legg

* A shorter version of this report was accepted to IJCAI 2017 AI and Autonomy track 

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Count-Based Exploration in Feature Space for Reinforcement Learning


Jun 25, 2017
Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter

* Conference: Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17), 8 pages, 1 figure 

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Universal Reinforcement Learning Algorithms: Survey and Experiments


May 30, 2017
John Aslanides, Jan Leike, Marcus Hutter

* 8 pages, 6 figures, Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17) 

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Generalised Discount Functions applied to a Monte-Carlo AImu Implementation


Mar 03, 2017
Sean Lamont, John Aslanides, Jan Leike, Marcus Hutter

* 12 pages, 4 figures 

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Free Lunch for Optimisation under the Universal Distribution


Aug 16, 2016
Tom Everitt, Tor Lattimore, Marcus Hutter

* Proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC), July 6-11, 2014, Beijing, China, pp. 167-174 

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Thompson Sampling is Asymptotically Optimal in General Environments


Jun 03, 2016
Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter

* UAI 2016 

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Death and Suicide in Universal Artificial Intelligence


Jun 02, 2016
Jarryd Martin, Tom Everitt, Marcus Hutter

* Conference: Artificial General Intelligence (AGI) 2016 13 pages, 2 figures 

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Avoiding Wireheading with Value Reinforcement Learning


May 10, 2016
Tom Everitt, Marcus Hutter

* Artificial General Intelligence (AGI) 2016 

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Self-Modification of Policy and Utility Function in Rational Agents


May 10, 2016
Tom Everitt, Daniel Filan, Mayank Daswani, Marcus Hutter

* Artificial General Intelligence (AGI) 2016 

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Loss Bounds and Time Complexity for Speed Priors


Apr 12, 2016
Daniel Filan, Marcus Hutter, Jan Leike

* AISTATS 2016 

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