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README.md

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@@ -28,11 +28,12 @@ SIATune is an open-source deep learning model hyperparameter tuning toolbox espe
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- **Schedule multiple experiments**
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Various scheduling techniques are supported to efficiently manage many experiments.
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- [x] [AsyncHyperBandScheduler](https://arxiv.org/abs/1810.05934)
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- [ ] [PopulationBasedTraining](https://www.deepmind.com/blog/population-based-training-of-neural-networks)
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- [ ] [MedianStoppingRule](https://research.google.com/pubs/pub46180.html)
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- [x] [Asynchronous HyperBand](https://arxiv.org/abs/1810.05934)
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- [x] [HyperBand](https://arxiv.org/abs/1603.06560)
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- [ ] [Median Stopping Rule](https://research.google.com/pubs/pub46180.html)
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- [ ] [Population Based Training](https://www.deepmind.com/blog/population-based-training-of-neural-networks)
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- [ ] [Population Based Bandits](https://arxiv.org/abs/2002.02518)
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- [ ] [HyperBandScheduler](https://arxiv.org/abs/1603.06560)
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- [x] [Bayesian Optimization and HyperBand](https://arxiv.org/abs/1807.01774)
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- **Distributed tuning system based on Ray**

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