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Decentralized partially observable Markov decision process
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<p>The decentralized partially observable Markov decision process (Dec-POMDP) is a model for coordination and <a href="/facts/Decision-making/NbJYprSw">decision-making</a> among multiple agents. It is a <a href="/facts/Probabilistic/fgYvMhwb">probabilistic</a> model that can consider <a href="/facts/Uncertainty/VM9pnGvk">uncertainty</a> in outcomes, sensors and communication (i.e., costly, delayed, noisy or nonexistent communication). </p><p>It is a generalization of a <a href="/facts/Markov_decision_process/cVlWIDrw">Markov decision process</a> (MDP) and a <a href="/facts/Partially_observable_Markov_decision_process/rbARkAXc">partially observable Markov decision process</a> (POMDP) to consider multiple decentralized agents. </p>