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• W1579579904 abstract "We present a bounded policy iteration algorithm for infinite-horizon decentralized POMDPs. Policies are represented as joint stochastic finite-state controllers, which consist of a local controller for each agent. We also let a joint controller include a correlation device that allows the agents to correlate their behavior without exchanging information during execution, and show that this leads to improved performance. The algorithm uses a fixed amount of memory, and each iteration is guaranteed to produce a controller with value at least as high as the previous one for all possible initial state distributions. For the case of a single agent, the algorithm reduces to Poupart and Boutilier's bounded policy iteration for POMDPs." @default.
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• W1579579904 date "2005-07-30" @default.
• W1579579904 modified "2023-09-24" @default.
• W1579579904 title "Bounded policy iteration for decentralized POMDPs" @default.
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