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Please predict whether this patent is acceptable.PATENT ABSTRACT: A system and method for automatically optimizing states of communications and operations in a contact center, using a reinforcement learning module comprising a reinforcement learning server and an optimization server introduced to existing infrastructure of the contact center, that, through use of a model set up as a partially observable Markov chain with a Baum-Welch algorithm used to infer parameters and rewards added to form a partially observable Markov decision process, is solved to provide an optimal action policy to use in each state of a contact center, thereby ultimately optimizing states of communications and operations for an overall return.