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Parameter Estimation with the Ordered $\ell_{2}$ Regularization via an Alternating Direction Method of Multipliers
The reason stems from the fact that the ordered regularization can reject irrelevant variables and yield an accurate estimation of the parameters.
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning
One reason for the instability of off-policy learning is a discrepancy between the target ($\pi$) and behavior (b) policy distributions.
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