Matthia Sabatelli

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].

Selected Publications#

[5]

2016 …#

• Zacharias Georgiou, Evangelos Karountzos, Yaroslav Shkarupa, Matthia Sabatelli (2016). A Reinforcement Learning Approach for Solving KRK Chess Endgames. pdf [6]
• Matthia Sabatelli (2017). Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks. Master’s thesis, University of Groningen, pdf [7]
• 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. IJCNN 2020 [8]
• 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

References#

1. ↑ Matthia Sabatelli
2. ↑ Matthia Sabatelli | LinkedIn
3. ↑ Zacharias Georgiou, Evangelos Karountzos, Yaroslav Shkarupa, Matthia Sabatelli (2016). A Reinforcement Learning Approach for Solving KRK Chess Endgames. pdf
4. ↑ Matthia Sabatelli (2017). Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks. Master’s thesis, University of Groningen, pdf
5. ↑ dblp: Matthia Sabatelli
6. ↑ GitHub - paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames: Machine Learning - Reinforcement Learning
7. ↑ GitHub - paintception/DeepChess
8. ↑ GitHub - paintception/Deep-Quality-Value-DQV-Learning-: DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm

Up one Level