26 citations · 54 across the 10 of their papers we have counts for
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cs.LG2019★ 26 cited
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Masatoshi Uehara, Jiawei Huang, Nan Jiang
We provide theoretical investigations into off-policy evaluation in reinforcement learning using function approximators for (marginalized) importance weights and value functions. O…
cs.LG2019★ 4 cited
From Importance Sampling to Doubly Robust Policy Gradient
Jiawei Huang, Nan Jiang
We show that on-policy policy gradient (PG) and its variance reduction variants can be derived by taking finite difference of function evaluations supplied by estimators from the i…