Q: loss function은 어떻게 오차를 정의하는건가요?

Remind: Context Bandit Problem

Context Bandit Class

class ContextBandit:
    def __init__(self, arms = 10):
        self.arms = arms
        self.init_distribution(arms)
        self.update_state()

    def init_distribution(self, arms):
        self.bandit_matrix = np.random.randn(arms, arms)

    def reward(self, prob):
        reward = 0
        for i in range(self.arms):
            if random.random() < prob:
                reward += 1
        return reward

    def get_state(self):
        return self.state
    
    def update_state(self):
        self.state = np.random.randint(0, self.arms)

    def get_reward(self, arm):
        return self.reward(self.bandit_matrix[self.get_state()][arm])

    def choose_arm(self, arm):
        reward = self.get_reward(arm)
        self.update_state()
        return reward
        

Bandit Matrix

Back to question

출력층의 활성화 함수는 ReLu다.