Patent ID: 11880765
Assignee: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A system comprising:
a hardware processor; and
a memory device coupled with the hardware processor;
the hardware processor configured to at least:
receive a first dataset representing an observable state in reinforcement learning to train a machine to perform an action;
receive a second dataset;

train a machine learning classifier using the second dataset to make a prediction about an entity related to the action;
extract an embedding from the trained machine learning classifier;
augment the observable state with the embedding to create an augmented state; and

based on the augmented state, train a reinforcement learning model to learn a policy for performing the action, the policy including a mapping from state space to action space,
wherein the embedding includes a vector representation of information in heterogeneous form converted by the machine learning classifier into a usable form by the reinforcement learning model.