Nec corporation (20240185269). OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING OPTIMIZATION PROGRAM simplified abstract

OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING OPTIMIZATION PROGRAM

Organization Name

nec corporation

Inventor(s)

Shinji Ito of Tokyo (JP)

OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING OPTIMIZATION PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240185269 titled 'OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING OPTIMIZATION PROGRAM

Simplified Explanation

The patent application describes an optimization apparatus that selects correction values from convex hulls of a policy set, calculates estimated loss values, updates probability distributions, and determines policies for future rounds based on the updated distributions.

Key Features and Innovation

• Selection of correction values from convex hulls of a policy set
• Calculation of estimated loss values based on executed policies
• Updating of probability distributions based on estimated values
• Determination of policies for future rounds based on updated distributions

Potential Applications

The technology can be applied in various fields such as finance, logistics, and resource allocation where optimization of decision-making processes is crucial.

Problems Solved

The technology addresses the need for efficient optimization of policies and decision-making processes in complex systems.

Benefits

• Improved decision-making processes
• Enhanced efficiency in policy optimization
• Better resource allocation and utilization

Commercial Applications

Optimization apparatus can be utilized in industries such as finance, supply chain management, and healthcare for improving operational efficiency and decision-making processes.

Prior Art

There may be prior art related to optimization algorithms and decision-making processes in various fields that could be relevant to this technology.

Frequently Updated Research

Research on optimization algorithms, machine learning techniques, and decision-making processes may be relevant to the ongoing development and improvement of this technology.

Questions about Optimization Apparatus

Question 1

How does the apparatus select correction values from convex hulls of a policy set?

The apparatus selects correction values by choosing elements with magnitudes equal to or smaller than a predetermined value from the convex hulls of the policy set.

Question 2

What is the significance of updating probability distributions based on estimated loss values?

Updating probability distributions based on estimated loss values helps in refining the decision-making process by incorporating the feedback from previous policy executions.

Original Abstract Submitted

an optimization apparatus includes: a selection unit that selects, as a correction value, an element having a magnitude equal to or smaller than a predetermined value from among convex hulls of a policy set; an acquisition unit that acquires a result of execution of a second policy executed in a second round, the second round being a round a predetermined round before a first round for executing a first policy that is determined from among the policy set; a calculation unit that calculates an estimated value of a loss vector in the execution of the policy based on the result of the execution and the correction value selected in the second round; an update unit that updates a first probability distribution based on the estimated value; and a determination unit that determines a policy for a next round based on the updated first probability distribution.