Efficient Offline Communication Policies for Factored Multiagent POMDPs

NeurIPS 2011 João V. MessiasMatthijs SpaanPedro U. Lima

Factored Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) form a powerful framework for multiagent planning under uncertainty, but optimal solutions require a rigid history-based policy representation. In this paper we allow inter-agent communication which turns the problem in a centralized Multiagent POMDP (MPOMDP)... (read more)

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