arxiv
PublishedOctober 15, 2026 at 4:00 AM
Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty
Publisher summary· verbatim
arXiv:2610.16902v1 Announce Type: new Abstract: 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, i
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivKolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows11harxivOpen Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans11harxivWorldCast: Exploring Intelligent Visual Generation in World State Prediction11harxivInterpreting Language Model Parameters11hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗