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A Survey of Ad Hoc Teamwork Research

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arxiv 2202.10450 v3 pith:RMAW3KK5 submitted 2022-02-16 cs.MA cs.AI

Reuth Mirsky , Ignacio Carlucho , Arrasy Rahman , Elliot Fosong , William Macke , Mohan Sridharan , Peter Stone , Stefano V. Albrecht This is my paper · ORCID
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keywords teamworkproblemresearchsurveyaddressedagentsbeencollaborate
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Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination. This survey makes a two-fold contribution: First, it provides a structured description of the different facets of the ad hoc teamwork problem. Second, it discusses the progress that has been made in the field so far, and identifies the immediate and long-term open problems that need to be addressed in ad hoc teamwork.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork

    cs.AI 2026-07 conditional novelty 6.0 of 10

    CE-CM infers discrete task-invariant partner capability vectors online via approximate Bayesian simulate-and-compare, and CE-CM-Div improves estimates when humans use diverse suboptimal strategies.

  2. NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming

    cs.RO 2026-02 reject novelty 5.0 of 10

    A nested training ladder—train adaptive simulated partners at one level, then train the agent against them—improves coordination with unseen adaptive partners in Overcooked, but its non-collapse theorem restates its o...

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