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Add probabilistic NAS papers #2

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Add probabilistic NAS papers #2

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Update README.md
pacowong Oct 10, 2020
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Merge branch 'master' into patch-1
pacowong Apr 20, 2021
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5 changes: 4 additions & 1 deletion README.md
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Expand Up @@ -23,9 +23,10 @@ A good survey of Deep Reinforcement Learning: [A Brief Survey of Deep Reinforcem


## Papers

| Title | Authors | Code | Year |
| ----- | ------- | -------- | ---- |
| [Probabilistic Dual Network Architecture Search on Graphs](https://arxiv.org/abs/2003.09676) | Zhao et al. | not yet | 2020 |
| [Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification](https://arxiv.org/abs/2008.05695) | Qu et al. | not yet | 2020 |
| [Learning and Implementing Deep Learning Methods](https://www.researchgate.net/profile/Omar_Awwad3/publication/344416110_Omar_Awwad_Learning_and_Implementing_Deep_Learning_Methods/links/5f7346a6458515b7cf580db2/Omar-Awwad-Learning-and-Implementing-Deep-Learning-Methods.pdf) | Omar Awwad | not yet | 2020 |
| [Generating CNNs using Genetic Algorithm](https://nlp.fi.muni.cz/uiprojekt/ui/zachar_lev_martin2020/Documentation.pdf) | Lev Martin Zachar | not yet | 2020 |
| [A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot](https://www.duo.uio.no/bitstream/handle/10852/79650/1/wonho_lee_master_thesis.pdf) | -Wonho Lee | not yet | 2020 |
Expand Down Expand Up @@ -113,6 +114,8 @@ A good survey of Deep Reinforcement Learning: [A Brief Survey of Deep Reinforcem
| [Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation](https://arxiv.org/pdf/1912.08324.pdf) | Tianhong Dai, et al. | not yet | 2020 |
| [POPULATION-GUIDED PARALLEL POLICY SEARCH FOR REINFORCEMENT LEARNING](https://arxiv.org/pdf/2001.02907.pdf) | Whiyoung Jung, et al. | [repo](https://github.com/wyjung0625/p3s) | ICLR 2020 |
| [IMPROVING DEEP NEUROEVOLUTION VIA DEEP INNOVATION PROTECTION](https://arxiv.org/pdf/2001.01683.pdf) | Sebastian Risi and Kenneth O. Stanley | [repo](https://github.com/uber-research/ga-world-models/) | 2020 |
| [Probabilistic Neural Architecture Search](https://arxiv.org/abs/1902.05116) | Casale et al. | not yet | 2019 |
| [Probabilistic Grammar-Based Neuroevolution for Physiological Signal Classification of Ventricular Tachycardia](https://e-tarjome.com/storage/panel/fileuploads/2019-09-24/1569304277_E13567-e-tarjome.pdf) | Wong et al. | not yet | 2019 |
| [Evolutionary NetArchitecture Search for Deep Neural Networks Pruning](https://dl.acm.org/doi/abs/10.1145/3377713.3377739) | Shuxin Chen, et al. | not yet | 2019 |
|[AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence](https://arxiv.org/abs/1905.10985) | Jeff Clune | not yet | 2019 |
| [Differential Evolution for Neural Networks Optimization](https://www.researchgate.net/publication/338404662_Differential_Evolution_for_Neural_Networks_Optimization) | Marco Baioletti, et al. | not yet | Mathematics 2020 |
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