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2:25
YouTube
Code & Steel
K-Armed Bandits Problem: simple animated explanation of the epsilon-greedy strategy
In this animated video, we break down the famous K-Armed Bandit problem from reinforcement learning. Imagine you’re in front of multiple slot machines (bandits), each with an unknown probability of giving a reward. Which one should you play, and how do you balance exploration (trying new machines) with exploitation (sticking with the best one ...
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