Conference Publication Details
Mandatory Fields
Mannion, P; Mason, K; Devlin, S; Duggan, J; Howley, E
AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning
2016
May
Published
1
WOS: 6 ()
Optional Fields
1345
1346
Singapore
In this paper, we examine the application of Multi-Agent Reinforcement Learning (MARL) to a Dynamic Economic Emissions Dispatch problem. This is a multi-objective problem domain, where the conflicting objectives of fuel cost and emissions must be minimised. We evaluate the performance of several different MARL credit assignment structures in this domain, and our experimental results show that MARL can produce comparable solutions to those computed by Genetic Algorithms and Particle Swarm Optimisation.
Grant Details
Publication Themes
Informatics, Physical and Computational Sciences