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BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics

Huang, Chih-Wei et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learningmultiagent-systemsnetworking-and-internet-architecture
Multi-agent reinforcement learning supports cooperative decision-making in Internet of Things systems, but strategic deviations can disrupt coordination and undermine confidence in the training process. This paper proposes Blockchain-Enabled Centralized Training and Decentralized Execution (BE-CTDE)
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