1 Answers
The decentralized partially observable Markov decision process 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.
It is a generalization of a Markov decision process and a partially observable Markov decision process to consider multiple decentralized agents.
4 views
Answered