AIBullisharXiv – CS AI · Mar 36/103
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Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Researchers propose Tru-POMDP, a new AI planning system that combines Large Language Models with Bayesian planning to help home-service robots handle uncertain tasks and ambiguous instructions. The system uses a hierarchical Tree of Hypotheses to generate beliefs about possible world states and significantly outperforms existing LLM-based planners in kitchen environment tests.