Matthia Sabatelli

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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. 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 .

=Selected Publications=

2017 ...

 * Matthia Sabatelli (2017). Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks. Master's thesis, University of Groningen, pdf
 * Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco Wiering (2018). Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM 2018, pdf
 * Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco Wiering (2018). Deep Quality-Value (DQV) Learning. arXiv:1810.00368
 * Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco Wiering (2019). Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms. arXiv:1909.01779

2020 ...

 * Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco Wiering (2020). The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.
 * Matthia Sabatelli, Mike Kestemont, Pierre Geurts (2020). On the Transferability of Winning Tickets in Non-Natural Image Datasets. arXiv:2005.05232

=External Links=
 * Matthia Sabatelli | LinkedIn
 * Matthia Sabatelli
 * ‪Matthia Sabatelli‬ - ‪Google Scholar‬
 * paintception (Matthia Sabatelli) · GitHub

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