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Off-PolicyEvaluationforAction-Dependent Non-StationaryEnvironments

Neural Information Processing Systems

Methods for sequential decision making are often built upon a foundational assumption that the underlying decision process is stationary [Sutton and Barto, 2018]. While this assumption was a cornerstone when laying the theoretical foundations of the field, and while is often reasonable, it isseldom trueinpractice andcanbeunreasonable [Dulac-Arnold etal.,2019].









464074179972cbbd75a39abc6954cd12-Supplemental.pdf

Neural Information Processing Systems

GloVE [25] is a 300-dimensional word embedding space. It is an dimensionality-representation representation of word-word co-occurrence statistics. The FlairNLP repository which we used for the preceding represenations can be found here: https://github.com/flairNLP/ Representations were built using a sliding window of 64 words as a context. Representations were built using a sliding window of 64 words as a context.