Dana S. Nau

2 accepted papers

2026

Probabilistic Hierarchical Goal Network Planning with UCT

David H. Chan, Mark Roberts, Dana S. Nau

AAAI 2026technical

Hierarchical goal networks (HGNs) provide a framework for goal-directed planning by decomposing high-level goals into ordered subgoals. While prior work has examined non-determinism for hierarchical planning (specifically, HTNs), scant work studies how HGNs can help in stochastic settings. We introd

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2024

Surrogate Bayesian Networks for Approximating Evolutionary Games

Vincent Hsiao, Dana S Nau, Bobak Pezeshki, Rina Dechter

AISTATS 2024poster

Spatial evolutionary games are used to model large systems of interacting agents. In earlier work, a method was developed using Bayesian Networks to approximate the population dynamics in these games. One of the advantages of the Bayesian Network modeling approach is that it is possible to smoothly…

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