Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty
Bayesian Networks (BNs) are established tools for letting agents reason under uncertainty in sequential decision-making. They split a joint distribution into local conditional mechanisms arranged on a directed acyclic graph, which makes them modular, interpretable, and ready to perform probabilistic inference. Their cl...
Giovanni Briglia, Marco Lippi, Stefano Mariani et al.
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