Much of the work on opponent modeling for game tree search has been unsuccessful. In two-player, zero-sum games, the gains from opponent modeling are often outweighed by the cost ...
Nathan R. Sturtevant, Martin Zinkevich, Michael H....
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
The project MediaFlies implements an interactive multiagent system that incorporates flocking and synchronization in order to generate a constantly changing visual output. It reli...
We present economically augmented job shop scheduling (EJSP) as an example of a coordination problem among selfinterested agents with private information. We discuss its signific...