Decentralized partially observable Markov decision process
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The decentralized partially observable Markov decision process (Dec-POMDP) [1][2] is a model for coordination and decision-making among multiple agents. It is a probabilistic model that can consider uncertainty in outcomes, sensors and communication (i.e., costly, delayed, noisy or nonexistent communication). it is a generalization of a Markov decision process (MDP) and a partially observable Markov decision process (POMDP) to consider multiple decentralized agents.
References
- ^ Bernstein, Daniel S.; Givan, Robert; Immerman, Neil; Zilberstein, Shlomo (November 2002). "The Complexity of Decentralized Control of Markov Decision Processes". Math. Oper. Res. 27 (4): 819–840. doi:10.1287/moor.27.4.819.297. ISSN 0364-765X.
- ^ Oliehoek, Frans A.; Amato, Christopher. A Concise Introduction to Decentralized POMDPs | SpringerLink. doi:10.1007/978-3-319-28929-8.