Patent ID: 11907335
Assignee: COGNITIVE SPACE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The computing system of claim 6, wherein the model optimization module is configured to:
train the policy network based ANN model based on the received request, the received one or more input parameters, the desired target, the one or more dynamic parameters and the expected reward value to determine the one or more actions to be executes on the agent;
update learning of the trained policy network based ANN model based on the determined different target and the updated expected reward value corresponding to the determined different target by using reinforcement learning, wherein the trained policy network based ANN model updates one or more policy network parameters based on the determined different target and the updated expected reward value corresponding to the determined different target, wherein the learning of the trained policy network based ANN model is updated for one or more training sessions until optimal one or more actions are determined based on the updated expected reward value; and
determine one or more actions to be executed by the agent corresponding to the determined different target based on the received request, the received one or more input parameters, the different target, one or more dynamic parameters and the updated expected reward value by using the updated policy network based ANN model.