1. Auer, P.: Using confidence bounds for exploitation-exploration trade-offs. J. Mach. Learn. Res. 3(Nov), 397–422 (2002)
2. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2), 235–256 (2002)
3. Berner, C., et al.: Dota 2 with large scale deep reinforcement learning. arXiv preprint arXiv:1912.06680 (2019)
4. Chen, W., Huang, S., Chiang, Y., Chen, T., Zhu, J.: DGPO: discovering multiple strategies with diversity-guided policy optimization. In: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, pp. 2634–2636 (2023)
5. Chu, W., Li, L., Reyzin, L., Schapire, R.: Contextual bandits with linear payoff functions. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp. 208–214. JMLR Workshop and Conference Proceedings (2011)