Title

Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online

Abstract

Complex human-engineered systems involve an interconnection of multiple decision makers (or agents) whose collective behavior depends on a compilation of local decisions that are based on partial information about each other and the state of the environment [1]-[4]. Strategic interactions among agents in these systems can be modeled as a multiplayer simultaneous-move game [5]-[8]. The agents involved can have conflicting objectives, and it is natural to make decisions based upon optimizing individual payoffs or costs.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Decision Making; E-Learning; Reinforcement Learning; Collective Behavior; Conflicting Objectives; Decision Makers; Engineered Systems; Multiplayer Games; Partial Information; Strategic Interactions; System Algorithm; Game Theory

International Standard Serial Number (ISSN)

1066-033X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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