Guangxia Li, Gang Xiao, Junbo Zhang, Jia Liu, Yulong Shen. Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming. In Elias Pimenidis, Plamen P. Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin 0001, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Volume 13530 of Lecture Notes in Computer Science, pages 99-110, Springer, 2022. [doi]
@inproceedings{LiXZLS22,
title = {Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming},
author = {Guangxia Li and Gang Xiao and Junbo Zhang and Jia Liu and Yulong Shen},
year = {2022},
doi = {10.1007/978-3-031-15931-2_9},
url = {https://doi.org/10.1007/978-3-031-15931-2_9},
researchr = {https://researchr.org/publication/LiXZLS22},
cites = {0},
citedby = {0},
pages = {99-110},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II},
editor = {Elias Pimenidis and Plamen P. Angelov and Chrisina Jayne and Antonios Papaleonidas and Mehmet Aydin 0001},
volume = {13530},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-15931-2},
}