Оцінювальна функція (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Оцінювальна функція" in Ukrainian language version.

refsWebsite

Global rank Ukrainian rank

4doi.org

2^nd place

4^th place

4github.com

383^rd place

596^th place

3nih.gov

4^th place

5^th place

2harvard.edu

18^th place

74^th place

2arxiv.org

69^th place

188^th place

1computerhistory.org

2,213^th place

3,154^th place

1bkgm.com

low place

1nyu.edu

1,174^th place

1,789^th place

1ijcai.org

low place

1neurips.cc

low place

1lczero.org

low place

1nii.ac.jp

304^th place

low place

1hxim.github.io

low place

1rofchade.nl

low place

1computer-shogi.org

low place

1stockfishchess.org

low place

arxiv.org

Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis (2020). Mastering Atari, Go, chess and shogi by planning with a learned model. Nature. 588 (7839): 604—609. arXiv:1911.08265. Bibcode:2020Natur.588..604S. doi:10.1038/s41586-020-03051-4. PMID 33361790.
Lai, Matthew (4 вересня 2015), Giraffe: Using Deep Reinforcement Learning to Play Chess, arXiv:1509.01549v1, процитовано 12 грудня 2021

bkgm.com

Tesauro, Gerald (March 1995). Temporal Difference Learning and TD-Gammon. Communications of the ACM. 38 (3): 58—68. doi:10.1145/203330.203343. Процитовано 1 листопада 2013.

computer-shogi.org

apply.computer-shogi.org

Yu Nasu (28 квітня 2018). Efficiently Updatable Neural-Network-based Evaluation Function for computer Shogi (PDF) (Japanese) .

computerhistory.org

archive.computerhistory.org

Shannon, Claude (1950), Programming a Computer for Playing Chess (PDF), Ser. 7, т. 41, № 314, Philosophical Magazine, процитовано 12 грудня 2021

doi.org

Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan (7 грудня 2018). A general reinforcement learning algorithm that masters chess, shogi, and go through self-play. Science. 362 (6419): 1140—1144. Bibcode:2018Sci...362.1140S. doi:10.1126/science.aar6404. PMID 30523106.
Tesauro, Gerald (March 1995). Temporal Difference Learning and TD-Gammon. Communications of the ACM. 38 (3): 58—68. doi:10.1145/203330.203343. Процитовано 1 листопада 2013.
Schaeffer, J.; Burch, N.; Y. Björnsson; Kishimoto, A.; Müller, M.; Lake, R.; Lu, P.; Sutphen, S. (2007). Checkers is Solved (PDF). Science. 317 (5844): 1518—22. doi:10.1126/science.1144079. PMID 17641166.
Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis (2020). Mastering Atari, Go, chess and shogi by planning with a learned model. Nature. 588 (7839): 604—609. arXiv:1911.08265. Bibcode:2020Natur.588..604S. doi:10.1038/s41586-020-03051-4. PMID 33361790.

github.com

Yu Nasu (28 квітня 2018). Efficiently Updatable Neural-Network-based Evaluation Function for computer Shogi (Unofficial English Translation) (PDF). GitHub (English) .
Gary Linscott (30 квітня 2021). NNUE. GitHub. Процитовано 12 грудня 2020.
Noda, Hisayori (30 травня 2020). Release stockfish-nnue-2020-05-30. Github. Процитовано 12 грудня 2021.
Joost VandeVondele (25 липня 2020). official-stockfish / Stockfish, NNUE merge. GitHub.

harvard.edu

ui.adsabs.harvard.edu

Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan (7 грудня 2018). A general reinforcement learning algorithm that masters chess, shogi, and go through self-play. Science. 362 (6419): 1140—1144. Bibcode:2018Sci...362.1140S. doi:10.1126/science.aar6404. PMID 30523106.
Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis (2020). Mastering Atari, Go, chess and shogi by planning with a learned model. Nature. 588 (7839): 604—609. arXiv:1911.08265. Bibcode:2020Natur.588..604S. doi:10.1038/s41586-020-03051-4. PMID 33361790.

hxim.github.io

Stockfish Evaluation Guide, процитовано 12 грудня 2021

ijcai.org

Schaeffer, J.; Björnsson, Y.; Burch, N.; Kishimoto, A.; Müller, M.; Lake, R.; Lu, P.; Sutphen, S. Solving Checkers (PDF). Proceedings of the 2005 International Joint Conferences on Artificial Intelligence Organization.

lczero.org

Neural network topology. lczero.org. Процитовано 12 грудня 2021.

neurips.cc

proceedings.neurips.cc

Thurn, Sebastian (1995), Learning to Play the Game of Chess (PDF), MIT Press, процитовано 12 грудня 2021

nih.gov

pubmed.ncbi.nlm.nih.gov

Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan (7 грудня 2018). A general reinforcement learning algorithm that masters chess, shogi, and go through self-play. Science. 362 (6419): 1140—1144. Bibcode:2018Sci...362.1140S. doi:10.1126/science.aar6404. PMID 30523106.
Schaeffer, J.; Burch, N.; Y. Björnsson; Kishimoto, A.; Müller, M.; Lake, R.; Lu, P.; Sutphen, S. (2007). Checkers is Solved (PDF). Science. 317 (5844): 1518—22. doi:10.1126/science.1144079. PMID 17641166.
Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis (2020). Mastering Atari, Go, chess and shogi by planning with a learned model. Nature. 588 (7839): 604—609. arXiv:1911.08265. Bibcode:2020Natur.588..604S. doi:10.1038/s41586-020-03051-4. PMID 33361790.

nii.ac.jp

ci.nii.ac.jp

Jun Nagashima; Masahumi Taketoshi; Yoichiro Kajihara; Tsuyoshi Hashimoto; Hiroyuki Iida (2002), An Efficient Use of Piece-Square Tables in Computer Shogi, Information Processing Society of Japan

nyu.edu

cs.nyu.edu

Schaeffer, J.; Burch, N.; Y. Björnsson; Kishimoto, A.; Müller, M.; Lake, R.; Lu, P.; Sutphen, S. (2007). Checkers is Solved (PDF). Science. 317 (5844): 1518—22. doi:10.1126/science.1144079. PMID 17641166.

rofchade.nl

Ronald Friederich (4 січня 2020). PeSTO: Piece Square Tables Only. Процитовано 12 грудня 2021.

stockfishchess.org

blog.stockfishchess.org

Introducing NNUE Evaluation. 6 серпня 2020.