Previous approaches to select agents to form a team rely on single-agent capabilities, and
team performance is treated as a sum of such known capabilities. Motivated by complex …

The performance of a team at a task depends critically on the composition of its members.
There is a notion of synergy in human teams that represents how well teams work together …

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

Robustly cooperating with unseen agents and human partners presents significant
challenges due to the diverse cooperative conventions these partners may adopt. Existing …

In multiagent team settings, the agents are often given a protocol for coordinating their
actions. When such a protocol is not available, agents must engage in ad hoc teamwork to …

The growing use of autonomous agents in practice may require agents to cooperate as a
team in situations where they have limited prior knowledge about one another, cannot …

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 …

The concept of creating autonomous agents capable of exhibiting ad hoc teamwork was
recently introduced as a challenge to the AI, and specifically to the multiagent systems …

Ad hoc teamwork is the well-established research problem of designing agents that can
collaborate with new teammates without prior coordination. This survey makes a two-fold …

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 …