Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
The effectiveness of simulation-based training for individual tasks – such as piloting skills – is well established, but its use for team training raises challenging technical...
David R. Traum, Jeff Rickel, Jonathan Gratch, Stac...
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Endowing agents with “social rationality” [10, 12, 11] can aid overall efficiency in tasks where cooperation is beneficial to system level performance. However it is difficult...
We present a new polynomial-space algorithm, called Adopt, for distributed constraint optimization (DCOP). DCOP is able to model a large class of collaboration problems in multi-a...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...