Artificial Intelligence, Data Science, Machine Learning, Deep Learning.
can be modeled as a partially observed Markov decision process (POMDP). We propose an estimator, partial history importance weighting, and show that it can consistently estimate the stationary mean rewards of a target policy given long enough draws from the behavior policy. Furthermore, we