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• Note 3
• Survey 1

Note

(Inverse Bandit) Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

2 minute read

This is a recap of the “inverse bandit” problem first proposed in this paper.

(SCAL) Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

6 minute read

This is a recap of the regert analysis in SCAL.

(UCRL2) Near-optimal Regret Bounds for Reinforcement Learning

9 minute read

This is a recap of the regert analysis in UCRL2.

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Survey

Multi-armed Bandits with Bounded Rewards a Short Survey

less than 1 minute read

Here is a short survey covering the most common seen Multi-armed bandits (MAB) algorithms. You can download the full survey here.

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