INSTANCE WEIGHTED LEARNING MACHINE LEARNING MODEL

摘要

An instance weighted learning (IWL) machine learning model. In one example embodiment, a method of employing an IWL machine learning model may include identifying a temporal sequence of reinforcement learning machine learning training instances with each of the training instances including a state-action pair, determining a first quality value for a first training instance in the temporal sequence of reinforcement learning machine learning training instances determining a second quality value for a second training instance in the temporal sequence of reinforcement learning machine learning training instances, associating the first quality value with the first training instance, and associating the second quality value with the second training instance. In this example embodiment, the first quality value is higher than the second quality value.

主权项

1. A method of employing an instance weighted learning (IWL) machine learning model, the method comprising:
identifying a temporal sequence of reinforcement learning machine learning training instances, each of the training instances including a state-action pair; determining a first quality value for a first training instance in the temporal sequence of reinforcement learning machine learning training instances; determining a second quality value for a second training instance in the temporal sequence of reinforcement learning machine learning training instances, the first quality value being higher than the second quality value; associating the first quality value with the first training instance; and associating the second quality value with the second training instance.