The paper proves graphical identification criteria under which the value of an adaptive policy can be estimated from off-policy data, and shows how to choose state variables to satisfy them.
Optimal control of Markov processes with incomplete state infor- mation
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A Graphical Approach to State Variable Selection in Off-policy Learning
The paper proves graphical identification criteria under which the value of an adaptive policy can be estimated from off-policy data, and shows how to choose state variables to satisfy them.