Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit

We study a robust multi-agent multi-armed bandit problem where multiple clients or participants are distributed on a fully decentralized blockchain, with the possibility of some being malicious. The rewards of arms are homogeneous among the clients, following time-invariant stochastic distributions that are revealed to the participants only when the system is secure enough. The system's objective is to efficiently ensure the cumulative rewards gained by the honest participants. To this end and to the best of our knowledge, we are …

agent blockchain cs.lg cs.ma decentralized distributed multi-agent multiple possibility robust stochastic study