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cs.LG2022
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia, Anam Tahir, Heinz Koeppl
We consider communication in a fully cooperative multi-agent system, where the agents have partial observation of the environment and must act jointly to maximize the overall rewar…
cs.LG2021
Discrete-Time Mean Field Control with Environment States
Kai Cui, Anam Tahir, Mark Sinzger +1
Multi-agent reinforcement learning methods have shown remarkable potential in solving complex multi-agent problems but mostly lack theoretical guarantees. Recently, mean field cont…