POMCoP: Belief Space Planning for Sidekicks in Cooperative Games

We present POMCoP, a system for online planning in collaborative domains that reasons about how its actions will affect its understanding of human intentions, and demonstrate its use in building sidekicks for cooperative games. POMCoP plans in belief space. It explicitly represents its uncertainty a...

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Bibliographic Details
Published inProceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Vol. 8; no. 1; pp. 38 - 43
Main Authors Macindoe, Owen, Pack Kaelbling, Leslie, Lozano-Pérez, Tomás
Format Journal Article
LanguageEnglish
Published 30.06.2021
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Summary:We present POMCoP, a system for online planning in collaborative domains that reasons about how its actions will affect its understanding of human intentions, and demonstrate its use in building sidekicks for cooperative games. POMCoP plans in belief space. It explicitly represents its uncertainty about the intentions of its human ally, and plans actions which reveal those intentions or hedge against its uncertainty. This allows POMCoP to reason about the usefulness of incorporating information gathering actions into its plans, such as asking questions, or simply waiting to let humans reveal their intentions. We demonstrate POMCoP by constructing a sidekick for a cooperative pursuit game, and evaluate its effectiveness relative to MDP-based techniques that plan in state space, rather than belief space.
ISSN:2326-909X
2334-0924
DOI:10.1609/aiide.v8i1.12510