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cs.GT2026
Learning Market Competition in Shared Spectrum: A Multi-Agent Reinforcement Learning Approach
Qixuan Zai, Randall Berry
This paper investigates market competition among wireless service providers (SPs) that serve customers using shared spectrum. Prior work has analyzed such markets through models of…
cs.GT2026
Multi-Agent Reinforcement Learning in Markets with Congestion
Qixuan Zai, Randall Berry
This paper investigates multi-agent reinforcement learning (MARL) in settings where firms compete for customers using congestible resources. We consider Bertrand competition in whi…
cs.GT2023
Strategic Data Revocation in Federated Unlearning
Ningning Ding, Ermin Wei, Randall Berry
By allowing users to erase their data's impact on federated learning models, federated unlearning protects users' right to be forgotten and data privacy. Despite a burgeoning body…