Multi-Armed Bandits: Theory and Applications to Online Learning in Networks
Qing Zhao, Cornell University Multi-armed bandit problems pertain to optimal sequential decision making and learning in unknown environments. Since the first bandit problem posed by Thompson in 1933 for the application of clinical trials, bandit...