Difference between revisions of "Adam Treat"
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an American computer scientist and software engineer. He is a senior consulting engineer with the [https://en.wikipedia.org/wiki/The_Qt_Company The Qt Company], and has been working with [https://en.wikipedia.org/wiki/Qt_(software) Qt] for over 15 years <ref>[https://www.qtworldsummit.com/2018/speakers/adam-treat/ Adam Treat - Qt World Summit 2018 Qt World Summit 2018]</ref>. | an American computer scientist and software engineer. He is a senior consulting engineer with the [https://en.wikipedia.org/wiki/The_Qt_Company The Qt Company], and has been working with [https://en.wikipedia.org/wiki/Qt_(software) Qt] for over 15 years <ref>[https://www.qtworldsummit.com/2018/speakers/adam-treat/ Adam Treat - Qt World Summit 2018 Qt World Summit 2018]</ref>. | ||
Inspired by the seminal [[AlphaZero]] paper <ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815]</ref> and the [[Leela Chess Zero]] project, he is author of the [[UCI]] compliant [[:Category:Open Source|open source chess engine]] [[Allie]], | Inspired by the seminal [[AlphaZero]] paper <ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815]</ref> and the [[Leela Chess Zero]] project, he is author of the [[UCI]] compliant [[:Category:Open Source|open source chess engine]] [[Allie]], | ||
| − | which probes the same [[Neural Networks#Deep|deep]] [[Neural Networks#Convolutional|convolutional neural networks]] as produced by Leela inside an own implementation of an [[UCT#PUCT|PUCT]] [[Monte-Carlo Tree Search|Monte-Carlo tree search]]. | + | which probes the same [[Neural Networks#Deep|deep]] [[Neural Networks#Convolutional|convolutional neural networks]] as produced by Leela, inside an own implementation of an [[UCT#PUCT|PUCT]] [[Monte-Carlo Tree Search|Monte-Carlo tree search]]. |
=Forum Posts= | =Forum Posts= | ||
Revision as of 09:40, 11 September 2019
Adam Treat [1]
Adam Chester Treat,
an American computer scientist and software engineer. He is a senior consulting engineer with the The Qt Company, and has been working with Qt for over 15 years [2].
Inspired by the seminal AlphaZero paper [3] and the Leela Chess Zero project, he is author of the UCI compliant open source chess engine Allie,
which probes the same deep convolutional neural networks as produced by Leela, inside an own implementation of an PUCT Monte-Carlo tree search.
Forum Posts
- New Engine: Allie (NN) by Adam Treat, CCC, February 20, 2019
- Allie 0.1 by Adam Treat, CCC, March 12, 2019
- Allie 0.2 by Adam Treat, CCC, March 22, 2019
- New release of Allie v0.3 by Adam Treat, CCC, May 04, 2019
- Authors of chess engines getting crushed by their creations by Adam Treat, CCC, May 04, 2019
- New release of Allie v0.4 by Adam Treat, CCC, May 31, 2019
External Links
- Adam Treat - Senior Consulting Engineer - The Qt Company | LinkedIn
- manyoso (AT) · GitHub
- Allie+Stein, the new neural network based engine entering TCEC S15 | Chessdom, March 02, 2019
Patents
- Processing user input events in a web browser
- Backing store memory management for rendering scrollable webpage subregions
References
- ↑ Adam Treat - Senior Consulting Engineer - The Qt Company | LinkedIn
- ↑ Adam Treat - Qt World Summit 2018 Qt World Summit 2018
- ↑ David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815
