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Active inference, Bayesian optimal design, and expected utility


Sep 21, 2021
Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl Friston

* 19 pages; 3 figures 

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Active Inference for Stochastic Control


Aug 27, 2021
Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi

* 12 pages, 5 figures, Accepted presentation at IWAI-2021 (ECML-PKDD) 

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Bayesian brains and the Rényi divergence


Jul 12, 2021
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl Friston

* 23 pages, 5 figures 

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Exploration and preference satisfaction trade-off in reward-free learning


Jun 08, 2021
Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl Friston


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The relationship between dynamic programming and active inference: the discrete, finite-horizon case


Sep 22, 2020
Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl Friston, Ryan Smith


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Deep active inference agents using Monte-Carlo methods


Jun 07, 2020
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl Friston

* 16 pages, 8 figures 

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Demystifying active inference


Sep 24, 2019
Noor Sajid, Philip J. Ball, Karl J. Friston


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Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI


Nov 26, 2018
Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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