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Model-Free Risk-Sensitive Reinforcement Learning

Nov 04, 2021
Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega

* DeepMind Tech Report: 13 pages, 4 figures 

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Shaking the foundations: delusions in sequence models for interaction and control

Oct 20, 2021
Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Perolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott Reed, Marcus Hutter, Nando de Freitas, Shane Legg

* DeepMind Tech Report, 16 pages, 4 figures 

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Causal Analysis of Agent Behavior for AI Safety

Mar 05, 2021
Grégoire Déletang, Jordi Grau-Moya, Miljan Martic, Tim Genewein, Tom McGrath, Vladimir Mikulik, Markus Kunesch, Shane Legg, Pedro A. Ortega

* 16 pages, 16 figures, 6 tables 

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Algorithms for Causal Reasoning in Probability Trees

Nov 12, 2020
Tim Genewein, Tom McGrath, Grégoire Déletang, Vladimir Mikulik, Miljan Martic, Shane Legg, Pedro A. Ortega

* (2nd version with correction to algorithm) 11 pages, 8 figures, 5 algorithms. A companion Colaboratory tutorial is available at 

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Meta-trained agents implement Bayes-optimal agents

Oct 21, 2020
Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro A. Ortega

* Published at 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 

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Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

Aug 09, 2019
Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer

* German Conference on Pattern Recognition (GCPR) 2019, 12 main pages, 3 pages of appendix, 4 figures, 2 tables 

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Meta-learning of Sequential Strategies

May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

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Sinkhorn AutoEncoders

Oct 03, 2018
Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen

* Submitted to ICLR19 

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An information-theoretic on-line update principle for perception-action coupling

Apr 16, 2018
Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun

* 8 pages, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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On Detecting Adversarial Perturbations

Feb 21, 2017
Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

* Final version for ICLR2017 (see

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Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes

Apr 07, 2016
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun

* 16 pages, 3 figures 

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Abstraction in decision-makers with limited information processing capabilities

Dec 19, 2013
Tim Genewein, Daniel A. Braun

* Presented at the NIPS 2013 Workshop on Planning with Information Constraints 

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A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

Nov 10, 2012
Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun

* Neural Information Processing Systems (NIPS) 2012 
* 9 pages, 5 figures 

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