Industry 4.0 in Small and Medium-Sized Enterprises (SMEs)

5 A Multi-Agent Reinforcement Learning Approach for Spatiotemporal Sensing Application in Precision Agriculture

T. A. Tamba

DOI: 10.1201/9781003200857-5

Contents

5.1 Introduction: Background and Driving Forces

5.2 System Model

5.2.1 Markov Decision Process and Reinforcement Learning

5.2.2 Multi-Agent Reinforcement Learning

5.3 A MARL-Based Area Coverage Method

5.3.1 Problem Description

5.4 A MARL-Based Area Coverage Approach with Inter-Agent Negotiation

5.4.1 Markov Game Model

5.4.2 Learning for Equilibrium Computation

5.4.3 A Numerical Simulation

5.5 Concluding Remarks

References

5.1 Introduction: Background and Driving Forces

Digital transformations within the realm of Industry 4.0 have introduced a paradigm shift in the management and ...