most citedA Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference

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cs.AI2026

Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty

Giovanni Briglia, Marco Lippi, Stefano Mariani +1

Bayesian Networks (BNs) are established tools for letting agents reason under uncertainty in sequential decision-making. They split a joint distribution into local conditional mech…