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The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains
(2020)Autonomous Agents and Multi-Agent SystemsThe state-action space of an individual agent in a multiagent team fundamentally dictates how the individual interacts with the rest of the team. Thus, how an agent is defined in the context of its domain has a significant effect on team performance when learning to coordinate. In this work we explore the trade-offs associated with these design choices, for example, having fewer agents in the team that individually are able to process and ...Journal Article -
Assessing Impacts on the Natural Resource Soil in Life Cycle Assessment: Methods for Compaction and Water Erosion
(2020)Environmental Science & TechnologyJournal Article