Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah. CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. 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 567-572, IEEE, 2022. [doi]
@inproceedings{KarimiALP22,
title = {CandyRL: A Hybrid Reinforcement Learning Model for Gameplay},
author = {Sara Karimi and Sahar Asadi and Francesco Lorenzo and Amir Hossein Payberah},
year = {2022},
doi = {10.1109/ICMLA55696.2022.00098},
url = {https://doi.org/10.1109/ICMLA55696.2022.00098},
researchr = {https://researchr.org/publication/KarimiALP22},
cites = {0},
citedby = {0},
pages = {567-572},
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},
}