most citedParametric Return Density Estimation for Reinforcement Learning

42 citations · 42 across the 1 of their papers we have counts for

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1 paper

cs.LG2012★ 42 cited

Parametric Return Density Estimation for Reinforcement Learning

Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima +2

Most conventional Reinforcement Learning (RL) algorithms aim to optimize decision-making rules in terms of the expected returns. However, especially for risk management purposes, o…