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Martin Biehl

Araya Inc., Tokyo, Japan

Interpreting systems as solving POMDPs: a step towards a formal understanding of agency


Sep 04, 2022
Martin Biehl, Nathaniel Virgo

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* 17 pages, no figures, to be presented at 3rd International Workshop on Active Inference 2022 

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Interpreting Dynamical Systems as Bayesian Reasoners


Dec 27, 2021
Nathaniel Virgo, Martin Biehl, Simon McGregor

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* 11 pages + 26 pages appendix, to be published in the proceedings of the 2nd International Workshop on Active Inference 2021 

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Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments


Jul 14, 2021
Francesco Massari, Martin Biehl, Lisa Meeden, Ryota Kanai

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* 6 pages, 3 figures, to be published in proceedings of the International Conference on Development and Learning 2021 

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Non-trivial informational closure of a Bayesian hyperparameter


Oct 05, 2020
Martin Biehl, Ryota Kanai

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Causal blankets: Theory and algorithmic framework


Sep 29, 2020
Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani

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Geometry of Friston's active inference


Nov 20, 2018
Martin Biehl

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* 6 pages, 3 figures, Extended abstract accepted as a poster at AABI2018, 1st Symposium on Advances in Approximate Bayesian Inference, 2018 

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Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop


Jun 21, 2018
Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani

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* 53 pages, 6 figures, 2 tables 

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Being curious about the answers to questions: novelty search with learned attention


Jun 01, 2018
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai

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* 8 pages, 7 figures, ALife 2018 

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Learning body-affordances to simplify action spaces


Aug 15, 2017
Nicholas Guttenberg, Martin Biehl, Ryota Kanai

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* 4 pages, 4 figures 

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