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- W1597765512 abstract "Stochastic environments pose challenging problems for agents trying to act optimally in the presence of other agents. In such environments agents have to contend with the probabilistic effects of other agents' actions, their inability to completely observe the state of the world before selecting the next action and in some cases the high cost of communication. We show how such systems can be modeled as multi-agent Markov decision processes. We describe a policy that prescribes an action that has a high probability of being the optimal action under a given global state distribution and present an algorithm that agents can use to act in such environments while attempting to achieve their goals." @default.
- W1597765512 created "2016-06-24" @default.
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- W1597765512 date "2003-01-20" @default.
- W1597765512 modified "2023-09-23" @default.
- W1597765512 title "An MDP-based policy for stochastic multi-agent domains" @default.
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- W1597765512 doi "https://doi.org/10.1109/icsmc.1999.815595" @default.
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