Stochastic Nestedness and the Belief Sharing Information Pattern

  title={Stochastic Nestedness and the Belief Sharing Information Pattern},
  author={Serdar Y{\"u}ksel},
  journal={IEEE Transactions on Automatic Control},
Solutions to decentralized stochastic optimization problems lead to recursions in which the state space enlarges with the time-horizon, thus leading to non-tractability of classical dynamic programming. A common joint information state supplied to each of the agents leads to a tractable recursion, as is evident in the one-step-delayed information sharing structure case or when deterministic nestedness in information holds when there is a causality relationship as in the case of partially nested… CONTINUE READING
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