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20202025
most citedMulti-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

3 citations · 6 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AI2023

Towards a Better Understanding of Learning with Multiagent Teams

David Radke, Kate Larson, Tim Brecht +1

While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily mo…

cs.AI2023★ 1 cited

Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams

David Radke, Kyle Tilbury

Mixed incentives among a population with multiagent teams has been shown to have advantages over a fully cooperative system; however, discovering the best mixture of incentives or…