Yun-Da TsaiShou-De LinWang, Z.Tan, C.W.2024-06-272024-06-272024Tsai, YD., Lin, SD. (2024). Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards. In: Wang, Z., Tan, C.W. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2024. Lecture Notes in Computer Science(), vol 14658. Springer, Singapore. https://doi.org/10.1007/978-981-97-2650-9_139789819726493https://scholars.lib.ntu.edu.tw/handle/123456789/719498https://www.scopus.com/record/display.uri?eid=2-s2.0-85192389365&origin=resultslistPart of the book series: Lecture Notes in Computer Science ((LNAI,volume 14658)) Included in the following conference series: Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7–10, 2024, Proceedings[SDGs]SDG10book part10.1007/978-981-97-2650-9_13