SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR DYNAMIC USER INTERFACES FOR RNN-BASED DEEP REINFORCEMENT MACHINE-LEARNING MODELS

摘要

A method for evaluating a RNN-based deep learning model includes: receiving model data generated by the RNN-based model, the model data including a plurality of events associated with a plurality of states; generating a first GUI based on the events and states including a chart visually representing a timeline for the events in relation to a parameter value; generating a second GUI including a point chart visually representing a two-dimensional projection of the multi-dimensional intermediate data, each point of the point chart representing a time step and an event from the time step, based on multi-dimensional intermediate data between transformations in the model that connect a state to an event; and perturbing the environment at a time step based on user interaction with at least one of the first and second GUIs.