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Initial release of "Algorithms for Causal Reasoning in Probability Trees" (causal_reasoning).
PiperOrigin-RevId: 339006500
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Saran Tunyasuvunakool
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@@ -24,6 +24,7 @@ https://deepmind.com/research/publications/
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## Projects
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* [Algorithms for Causal Reasoning in Probability Trees](causal_reasoning)
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* [Gated Linear Networks](gated_linear_networks), NeurIPS 2020
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* [Value-driven Hindsight Modelling](himo), NeurIPS 2020
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* [Targeted free energy estimation via learned mappings](learned_free_energy_estimation), Journal of Chemical Physics 2020
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@@ -13,9 +13,10 @@ stochastic processes.
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For details, see our paper [Algorithms for Causal Reasoning in Probability Trees]().
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To launch the accompanying notebook in Google colab, [click here](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/causal_reasoning/Causal_Reasoning_in_Probability_Trees.ipynb).
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The accompanying colab is available here:
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[](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/causal_reasoning/Causal_Reasoning_in_Probability_Trees.ipynb)
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If you use the code here please cite this paper.
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> Tim Genewein*, Tom McGrath*, Grégoire Delétang*, Vladimir Mikulik*, Miljan Martic, Shane Legg, Pedro A. Ortega. NeurIPS 2020. [\[arXiv\]]()
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> Tim Genewein*, Tom McGrath*, Grégoire Delétang*, Vladimir Mikulik*, Miljan Martic, Shane Legg, Pedro A. Ortega. [\[arXiv\]](https://arxiv.org/abs/2010.12237)
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