Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti. Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 573-578, IEEE, 2022. [doi]
@inproceedings{PasqualiniPMAGMFM22,
title = {Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?},
author = {Luca Pasqualini and Maurizio Parton and Francesco Morandin and Gianluca Amato and Rosa Gini and Carlo Metta and Marco Fantozzi and Alessandro Marchetti},
year = {2022},
doi = {10.1109/ICMLA55696.2022.00099},
url = {https://doi.org/10.1109/ICMLA55696.2022.00099},
researchr = {https://researchr.org/publication/PasqualiniPMAGMFM22},
cites = {0},
citedby = {0},
pages = {573-578},
booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
publisher = {IEEE},
isbn = {978-1-6654-6283-9},
}