INITIAL RESULTS OF A REINFORCEMENT LEARNING MODEL USING A HEURISTIC

Patent №

US 11,724,194

Granted

2023-08-15

Filed 2021

Owner

BLIZZARD ENTERTAINMENT, INC.

Lab

AI components

5

ml · nlp · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17387321

Systems and methods for improving initial results of a reinforcement learning model are described herein. In an embodiment, a server computer initiates a reinforcement learning model for a modeled system. While executing the reinforcement learning model, the server computer computes a first result value for a particular action using the reinforcement learning model and a second result value for the particular action using a heuristic separate from the reinforcement model. Based, at least in part, on the first result value for the particular action and the second result value for the particular action, the server computer performs the particular action. The server computer determining a result from performing the particular action and updates the reinforcement learning model.

Machine learningNatural languagePlanningEvolutionary computationAI hardwareA63F 13/67G06N 20/00A63F 13/57G06F 18/10G06N 3/08G06N 5/01A63F 2300/6027G06N 3/006+1 more

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
Evolutionary computation0.98
AI hardware0.95
Vision0.44
Speech0.20
Knowledge representation0.19

Ownership

BLIZZARD ENTERTAINMENT, INC.

assignment · 570060462

Assignors

YANG, WAYNE, PENDERGRAST, DAVID, ZOOK, ALEXANDER

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC