PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
Por um escritor misterioso
Last updated 23 junho 2024
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://d3i71xaburhd42.cloudfront.net/307af86b352c73a2450fd8ceef70948531062eb0/3-Figure1-1.png)
The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results. The reproducibility of scientific findings are an important hallmark of quality and integrity in research. The scientific method requires hypotheses to be subjected to the most crucial tests, and for the results to be consistent across independent trials. Therefore, a publication is expected to provide sufficient information for an objective evaluation of its methods and claims. This is particularly true for research supported by public funds, where transparency of findings are a form of return on public investment. Unfortunately, many publications fall short of this mark for various reasons, including unavoidable ones such as intellectual property protection and national security of the entity creating those findings. This is a particularly important and documented problem in medical research, and in machine learning. Fortunately for those seeking to overcome these difficulties, the internet makes it easier to share experiments, and allows for crowd-sourced reverse engineering. A case study of this capability in neural networks research is presented in this paper. The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results.
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://d3i71xaburhd42.cloudfront.net/307af86b352c73a2450fd8ceef70948531062eb0/5-Figure2-1.png)
PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://i1.rgstatic.net/ii/profile.image/671357276803076-1537075456648_Q64/Donald-Wunsch.jpg)
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://i1.rgstatic.net/ii/profile.image/272519991132164-1441985238454_Q64/Martin-Mueller-34.jpg)
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://i1.rgstatic.net/ii/profile.image/993557267619840-1613893920844_Q64/Rezwan-Zaman.jpg)
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://neurips.cc/media/PosterPDFs/NeurIPS%202023/70403-thumb.png?t=1696914592.3011677)
NeurIPS 2023 Spotlight Posters
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://pubs.acs.org/cms/10.1021/acs.chemrev.8b00728/asset/images/medium/cr-2018-00728b_0030.gif)
Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
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Research related to AI, ML, and Related Topics
GitHub - youngfish42/Awesome-FL: Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://i1.rgstatic.net/ii/profile.image/279449338695682-1443637322150_Q64/Richard-Sutton-6.jpg)
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://www.confviews.com/static/iclr2021/thumbs/UH-cmocLJC.jpg)
ICLR 2021
GitHub - gopala-kr/trending-repos: trending repositories and news related to AI
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://i1.rgstatic.net/ii/profile.image/611322551099392-1522762062261_Q64/Daniel-Hier.jpg)
PDF) Reproducing Neural Network Research Findings via Reverse Engineering: Replication of AlphaGo Zero by Crowdsourced Leela Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://www.confviews.com/static/iclr2022/thumbs/Z7Lk2cQEG8a.jpg)
ICLR 2022
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://c5.rgstatic.net/m/435982309481010/images/template/default/author/author_default_m.jpg)
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero
![PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero](https://tanelp.github.io/neurips2021/thumbs/QmxFsofRvW9.jpg)
NeurIPS 2021 papers
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