2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020poster
The Markov assumption (MA) is fundamental to the empirical validity of reinforcement learning. In this paper, we propose a novel Forward-Backward Learning procedure to test MA in sequential decision making. The proposed test does not assume any parametric form on the joint distribution of the observ…