Allie

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Allie,
an UCI compliant open source chess engine by Adam Treat, written in C++ using Qt, released under the terms of GPL version 3. Allie is inspired by the seminal AlphaZero paper [1] and the Leela Chess Zero project - utilizing the networks produced by Leela Chess, and sharing the CuDNN backend written by Ankan Banerjee [2]. Allie is a replacement of Lc0's search with an own implementation of a PUCT Monte-Carlo tree search [3].

AllieStein

AllieStein is the combination of Allie with Leela's third party Stein network by Mark Jordan [4] [5], which is trained by supervised learning feeding in games from CCRL, supported by SGDR (Stochastic Gradient Descent with Warm Restarts) [6] and GGT (full-matrix adaptive regularization) [7], using batch renormalization [8], and adding gradient noise [9].

Features

Lc0 Intersections

Lc0diagram.png
Alliestein.png

What Alliestein has in Common with Lc0 [13]


See also

Forum Posts

Re: Allie & Stein by Alexander Lyashuk, CCC, March 07, 2019
Re: Allie & Stein by Adam Treat, CCC, March 07, 2019
Re: My failed attempt to change TCEC NN clone rules by Adam Treat, CCC, September 19, 2019

External Links

Chess Engine

Misc

References

  1. 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
  2. Re: My failed attempt to change TCEC NN clone rules by Adam Treat, CCC, September 19, 2019
  3. allie/node.h at master · manyoso/allie · GitHub
  4. Third Party Nets · LeelaChessZero/lc0 Wiki · GitHub
  5. Jjosh is creating Leelenstein | Patreon
  6. Ilya Loshchilov, Frank Hutter (2016). SGDR: Stochastic Gradient Descent with Warm Restarts. arXiv:1608.03983
  7. Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang (2018). The Case for Full-Matrix Adaptive Regularization. arXiv:1806.02958
  8. Sergey Ioffe (2017). Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models. arXiv:1702.03275
  9. Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens (2015). Adding Gradient Noise Improves Learning for Very Deep Networks. arXiv:1511.06807
  10. allie/movegen.cpp at master · manyoso/allie · GitHub
  11. Ethereal/attacks.h at master · AndyGrant/Ethereal · GitHub
  12. Re: My failed attempt to change TCEC NN clone rules by Adam Treat, CCC, September 19, 2019
  13. My failed attempt to change TCEC NN clone rules by Alexander Lyashuk, CCC, September 14, 2019 » TCEC

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