System for generation of data content based on learning reinforcement

A method for generation of data content based on learning reinforcement, the method comprising:

• electronically receiving, from a video file repository, a video file demonstrating regulatory compliance requirements for one or more users associated with a resource distribution entity, wherein the video file comprises one or more image frames;
• transmitting control signals configured to cause one or more computing devices of one or more users to display the video file in one or more interactive application environments stored thereon;
• initiating, via the one or more interactive application environments, a reinforcement learning algorithm on the video file, wherein implementing further comprises electronically receiving, via the one or more interactive application environments, one or more user inputs from the one or more users providing feedback for at least one or more portions of the video file;
• initiating an optimization policy generation engine on the one or more user inputs to generate an optimization policy, wherein the optimization policy generation engine is configured to encode the one or more user inputs into shaping rewards, wherein encoding further comprises assigning a cost to a first portion of one or more image frames associated with one or more negative feedbacks and assigning a reward to a second portion of the one or more image frames associated with one or more positive feedbacks, wherein the first portion and the second portion are associated with at least the one or more portions of the video file;
• initiating an implementation of the optimization policy on the video file, wherein initiating further comprises generating a modified video file based on at least the optimization policy to maximize an aggregated reward calculated based on the one or more positive feedbacks;
• initiating a validation engine on the modified video file, wherein the validation engine is configured to validate one or more changes implemented on the video file with the one or more user inputs and the optimization policy;
• and
• initiating a deployment of the modified video file to the one or more users.

A computer program product for generation of data content based on learning reinforcement, the computer program product comprising a non-transitory computer-readable medium comprising code causing a first apparatus to:

• electronically receive, from a video file repository, a video file demonstrating regulatory compliance requirements for one or more users associated with a resource distribution entity, wherein the video file comprises one or more image frames;
• transmit control signals configured to cause one or more computing devices of one or more users to display the video file in one or more interactive application environments stored thereon;
• initiate, via the one or more interactive application environments, a reinforcement learning algorithm on the video file, wherein implementing further comprises electronically receiving, via the one or more interactive application environments, one or more user inputs from the one or more users providing feedback for at least one or more portions of the video file;
• initiate an optimization policy generation engine on the one or more user inputs to generate an optimization policy, wherein the optimization policy generation engine is configured to encode the one or more user inputs into shaping rewards, wherein encoding further comprises assigning a cost to a first portion of image files associated with one or more negative feedbacks and assigning a reward to a second portion of the image files associated with one or more positive feedbacks, wherein the first portion and the second portion are associated with at least the one or more portions of the video file;
• initiate an implementation of the optimization policy on the video file, wherein initiating further comprises generating a modified video file based on at least the optimization policy to maximize an aggregated reward calculated based on the one or more positive feedbacks;
• initiate a validation engine on the modified video file, wherein the validation engine is configured to validate one or more changes implemented on the video file with the one or more user inputs and the optimization policy;
• and
• initiate a deployment of the modified video file to the one or more users.