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The tutorial presents advances in fairness-aware reinforcement learning encompassing theoretical results as well as real-world applications. We cover motivating applications and technical details of incorporating fairness objectives into the reinforcement learning model, analyze fairness in reinforcement learning as multi-objective optimization, and explore impactful future directions.

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