Patent ID: 11928556
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A reinforcement learning system comprising:
a state encoder for encoding a spatial and temporal representation of an observed state of an environment;
a previous state estimator (PSE) for generating an estimated previous state that estimates a previous state of a given state;
an accuracy evaluator for determining a difference between the estimated previous state and the previous state; and
a reward modifier for adjusting a size of a reward based on the difference between the estimated previous state and the previous state, wherein an inaccurate estimation by the previous state estimator (PSE) is an efficient state representation and generates a higher reward than an accurate estimation, wherein the accurate estimation is an inefficient state representation by the previous state estimator (PSE), wherein the inefficient state representation incorporates more information than is necessary for determining an action to be performed.