System and method for modifying an initial policy of an input/output device

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• receiving, by an input/output (I/O) device, an input from a user device, wherein the input comprises an initial policy of the I/O device;
• collecting, by the I/O device, a first set of real-time data related to an environment in proximity of a user interacting with the I/O device;
• applying a first machine learning model on the collected first set of real-time data to determine a current state in proximity to the user;
• executing a plan based on the determined current state and the initial policy received from the user device, wherein the initial policy facilitates execution of at least one plan by the I/O device;
• collecting, by the I/O device, a feedback data feature with respect to the executed plan, wherein the feedback data feature relates to how the user responds to the executed plan;
• applying a second machine learning model on the collected feedback data feature to determine if the initial policy should be modified;
• and
• modifying the initial policy of the I/O device when it is determined that the initial policy should be modified based the collected feedback data feature.

A system for modifying an initial policy of an input/output device, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• receive, by an input/output (I/O) device, an input from a user device, wherein the input comprises an initial policy of the I/O device;
• collect, by the I/O device, a first set of real-time data related to an environment in proximity of a user interacting with the I/O device;
• apply a first machine learning model on the collected first set of real-time data to determine a current state in proximity to the user;
• execute a plan based on the determined current state and the initial policy received from the user device, wherein the initial policy facilitates execution of at least one plan by the I/O device;
• collect, by the I/O device, a feedback data feature with respect to the executed plan, wherein the feedback data feature relates to how the user responds to the executed plan;
• apply a second machine learning model on the collected feedback data feature to determine if the initial policy should be modified;
• and
• modify the initial policy of the I/O device when it is determined that the initial policy should be modified based the collected feedback data feature.