Difference between revisions of "Matthia Sabatelli"

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=Selected Publications=
 
=Selected Publications=
 
<ref>[https://dblp.org/pid/160/6434.html dblp: Matthia Sabatelli]</ref>
 
<ref>[https://dblp.org/pid/160/6434.html dblp: Matthia Sabatelli]</ref>
==2017 ...==
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==2016 ...==
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* Zacharias Georgiou, Evangelos Karountzos, Yaroslav Shkarupa, [[Matthia Sabatelli]] ('''2016'''). ''A Reinforcement Learning Approach for Solving Chess Endgames''. [https://github.com/paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames/blob/master/project_papers/final_paper/reinforcement-learning-approach(2).pdf pdf] <ref>[https://github.com/paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames GitHub - paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames: Machine Learning - Reinforcement Learning]</ref>
 
* [[Matthia Sabatelli]] ('''2017'''). ''Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks''. Master's thesis, [https://en.wikipedia.org/wiki/University_of_Groningen University of Groningen], [https://www.ai.rug.nl/~mwiering/Thesis_Matthia_Sabatelli.pdf pdf] <ref>[https://github.com/paintception/DeepChess GitHub - paintception/DeepChess]</ref>
 
* [[Matthia Sabatelli]] ('''2017'''). ''Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks''. Master's thesis, [https://en.wikipedia.org/wiki/University_of_Groningen University of Groningen], [https://www.ai.rug.nl/~mwiering/Thesis_Matthia_Sabatelli.pdf pdf] <ref>[https://github.com/paintception/DeepChess GitHub - paintception/DeepChess]</ref>
 
* [[Matthia Sabatelli]], [[Francesco Bidoia]], [[Valeriu Codreanu]], [[Marco Wiering]] ('''2018'''). ''Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead''. ICPRAM 2018, [https://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/ICPRAM_CHESS_DNN_2018.pdf pdf]
 
* [[Matthia Sabatelli]], [[Francesco Bidoia]], [[Valeriu Codreanu]], [[Marco Wiering]] ('''2018'''). ''Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead''. ICPRAM 2018, [https://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/ICPRAM_CHESS_DNN_2018.pdf pdf]

Revision as of 12:41, 27 May 2021

Home * People * Matthia Sabatelli

Matthia Sabatelli [1]

Matthia Sabatelli,
an Italian computer scientist and Ph.D. candidate at University of Liège, researching on transfer learning which bridges between supervised and deep reinforcement learning. He holds a B.Sc. from University of Trento in 2014, and a M.Sc. from University of Groningen in 2017 [2]. In his M.Sc thesis Matthia Sabatelli elaborates on learning to play chess with minimal lookahead, using multilayer perceptrons versus convolutional neural networks to approximate Stockfish’s evaluation, also comparing two different board representations for the input layer [3].

Selected Publications

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2016 ...

2020 ...

External Links

References

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