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목록k-armed bandit (1)
RL Researcher
MAB Problem
1. Multi-Armed Bandit Probelm MAB는 아래와 같습니다. Consider the following learning problem. You are faced repeatedly with a choice among k different options, or actions, After each choice you receive a numerical reward chosen from a stationary probability distribution that depends on the action you selected. Your objective is to maximize the expected total reward over some time period. Expected total ..
Reinfrocement Learning
2021. 2. 19. 02:27