Open Access
| Issue |
ITM Web Conf.
Volume 78, 2025
International Conference on Computer Science and Electronic Information Technology (CSEIT 2025)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 10 | |
| Section | Deep Learning and Reinforcement Learning – Theories and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257801022 | |
| Published online | 08 September 2025 | |
- Daniëls, N., Goethals, B.: 'Non-Stationary Multi-Armed Bandits for News Recommendations'. Proc. Int. Workshop News Recommendation Analytics, co-located with 2024 ACM Conf. Recommender Systems (RecSys 2024), Bari, Italy, Oct. 2024 [Google Scholar]
- Russac, Y., Vernade, C., Cappé, O.: 'Weighted linear bandits for non-stationary environments'. Proc. 33rd Adv. Neural Inf. Process. Syst., Vancouver, Canada, Dec. 2019, vol. 32 [Google Scholar]
- Chakraborty, T., Shettiwar, P.: 'Non stationary bandits with periodic variation'. Proc. 23rd Int. Conf. Autonomous Agents Multiagent Systems, Auckland, New Zealand, May 2024, pp. 2177–2179 [Google Scholar]
- Alami, R.: 'Bayesian change-point detection for bandit feedback in non-stationary environments'. Proc. 15th Asian Conf. Machine Learning (ACML 2023), Istanbul, Turkey, Nov. 2023, pp. 17–31 [Google Scholar]
- Gupta, S., Joshi, G., Yağan, O.: 'Correlated multi-armed bandits with a latent random source'. Proc. ICASSP 2020 IEEE Int. Conf. Acoustics Speech Signal Process., Barcelona, Spain, May 2020, pp. 3572–3576 [Google Scholar]
- Ghoorchian, S., Kortukov, E., Maghsudi, S.: 'Contextual Multi-Armed Bandit With Costly Feature Observation in Non-Stationary Environments', IEEE Open J. Signal Process., 2024, 5, pp. 820–830 [Google Scholar]
- Li, C., Wu, Q., Wang, H.: 'Unifying clustered and non-stationary bandits'. Proc. Int. Conf. Artificial Intelligence Statistics, Mar. 2021, pp. 1063–1071 [Google Scholar]
- Deng, Y., Zhou, X., Ghosh, A., Gupta, A., Shroff, N.B.: 'Interference constrained beam alignment for time-varying channels via kernelized bandits'. Proc. 20th Int. Symp. Modeling Optim. Mobile, Ad hoc, Wireless Networks (WiOpt), Turin, Italy, Sept. 2022, pp. 25–32 [Google Scholar]
- Zhao, P., Zhang, L., Jiang, Y., Zhou, Z.H.: 'A simple approach for non-stationary linear bandits'. Proc. Int. Conf. Artificial Intelligence Statistics, June 2020, pp. 746–755 [Google Scholar]
- Cheung, W.C., Simchi-Levi, D., Zhu, R.: 'Learning to optimize under non-stationarity'. Proc. 22nd Int. Conf. Artificial Intelligence Statistics, Naha, Okinawa, Japan, April 2019, pp. 1079–1087 [Google Scholar]
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