Despite the recent advances in distributed MDP frameworks for reasoning about multiagent teams, these frameworks mostly do not reason about resource constraints, a crucial issue i...
Praveen Paruchuri, Milind Tambe, Fernando Ord&oacu...
This paper addresses an important question in the development of multi-agent systems—how can we create robust systems out of the often unreliable agents and infrastructures we ca...
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
A laser range-finder-based system for detecting interactions between people in indoor environments is presented. An entropy-based measure is used to recursively segment tracks of...
Anand Panangadan, Maja J. Mataric, Gaurav S. Sukha...
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...
We introduce a Game Logic with Preferences (GLP), which makes it possible to reason about how information or assumptions about the preferences of other players can be used by agen...
Sieuwert van Otterloo, Wiebe van der Hoek, Michael...