Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi. A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I. Volume 11727 of Lecture Notes in Computer Science, pages 529-540, Springer, 2019. [doi]
@inproceedings{ManomeSSTM19, title = {A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps}, author = {Nobuhito Manome and Shuji Shinohara and Kouta Suzuki and Kosuke Tomonaga and Shunji Mitsuyoshi}, year = {2019}, doi = {10.1007/978-3-030-30487-4_41}, url = {https://doi.org/10.1007/978-3-030-30487-4_41}, researchr = {https://researchr.org/publication/ManomeSSTM19}, cites = {0}, citedby = {0}, pages = {529-540}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I}, editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis}, volume = {11727}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-30487-4}, }