Autonomous agents often need to work together as a team to accomplish complex
cooperative tasks. Due to privacy and other realistic constraints, agents might need to …

Open ad hoc teamwork is the problem of training a single agent to efficiently collaborate with
an unknown group of teammates whose composition may change over time. A variable team …

When performing collaborative tasks with new unknown teammates, humans are particularly
adept at adapting to their collaborator and converging toward an aligned strategy. However …

Ad hoc teamwork is the challenging problem of designing an autonomous agent which can
adapt quickly to collaborate with teammates without prior coordination mechanisms …

In this paper we address the problem of ad hoc teamwork and contribute a novel approach,
PPAS, that is able to handle non-stationary teammates. Current approaches to ad hoc …

In this paper, we present a novel Bayesian online prediction algorithm for the problem
setting of ad hoc teamwork under partial observability (ATPO), which enables on-the-fly …

This paper introduces a formal definition of the setting of ad hoc teamwork under partial
observability and proposes a first-principled model-based approach which relies only on …

Ad hoc teamwork (AHT) is the challenge of designing a robust learner agent that effectively
collaborates with unknown teammates without prior coordination mechanisms. Early …

While great strides have been made in multiagent teamwork, existing approaches typically
assume extensive information exists about teammates and how to coordinate actions. This …

Robust autonomous agents should be able to cooperate with new teammates effectively by
employing ad hoc teamwork. Reasoning about ad hoc teamwork allows agents to perform …