GradientDICE: rethinking generalized offline estimation of stationary values
We present GradientDICE for estimating the density ratio between the state distribution of the target policy and the sampling distribution in off-policy reinforcement learning. GradientDICE fixes several problems of GenDICE (Zhang et al., 2020), the current state-of-the-art for estimating such densi...
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| Aineistotyyppi: | Conference item |
| Kieli: | English |
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Journal of Machine Learning Research
2020
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