アルゴリズム:Algorithms Protected: Measures for Stochastic Bandid Problems -Theoretical Limitations and the ε-Greedy Method
Theoretical limits and ε-greedy method, UCB method, riglet lower bounds for consistent measures, and KL divergence as measures for stochastic banded problems utilized in digital transformation , artificial intelligence , and machine learning tasks