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Zilong Deng, Simon Khan, and Shaofeng Zou study the sample complexity of risk-sensitive Reinforcement Learning with a generative model, specifically focusing on maximizing the Conditional Value at Risk (CVaR) with a risk tolerance level tau at each step, a problem they name Iterated CVaR.

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