POMCoP: Belief Space Planning for Sidekicks in Cooperative Games

Authors

  • Owen Macindoe Massachusetts Institute of Technology
  • Leslie Pack Kaelbling Massachusetts Institute of Technology
  • Tomás Lozano-Pérez Massachusetts Institute of Technology

DOI:

https://doi.org/10.1609/aiide.v8i1.12510

Keywords:

planning, games, POMDP, goal recognition, belief space, AI

Abstract

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.

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Published

2021-06-30

How to Cite

Macindoe, O., Pack Kaelbling, L., & Lozano-Pérez, T. (2021). POMCoP: Belief Space Planning for Sidekicks in Cooperative Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 8(1), 38-43. https://doi.org/10.1609/aiide.v8i1.12510