A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Supply chains are a central element of today’s global economy. Existing management practices consist primarily of static interactions between established partners. Global compet...
Michael Benisch, Alberto Sardinha, James Andrews, ...
Inspired by computational linguistic approaches to annotate the structures that occur in human dialogue, this paper describes a technique which encodes these structures as transfo...
Jarred McGinnis, David Robertson, Christopher Walt...