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QueryPOMDP: POMDP-Based Communication in Multiagent Systems
[chapter]
2012
Lecture Notes in Computer Science
Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) provide powerful modeling tools for multiagent decision-making in the face of uncertainty, but solving these models comes at a very high computational cost. Two avenues for side-stepping the computational burden can be identified: structured interactions between agents and intra-agent communication. In this paper, we focus on the interplay between these concepts, namely how sparse interactions impact the communication
doi:10.1007/978-3-642-34799-3_13
fatcat:ebhtc4qcdnhpzjydcnpc37hd2u