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Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies

Papadopoulos, Nikolaos Al. et al.
arXiv (All) · Papers
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computer-science-and-game-theoryf-2-2i-2-11j-4machine-learningmultiagent-systems
Many multi-agent games and simulated environments involve several independent, often learning, agents repeatedly competing for a shared resource. Conventional fairness measures assess whether resources are shared equally overall, but cannot distinguish orderly turn-taking from irregular access patte
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