Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs

Yanlin Han, Piotr Gmytrasiewicz

Neural Information Processing Systems 

It extends POMDPs to multi-agent settings by including models of other agents in the state space and forming a hierarchical belief structure. In order to predict other agents' actions using I-POMDPs, we

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