Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
This paper analyzes the entrants to the 2007 TAC Market Design Game. We present a classification of the entries to the competition, and use this classification to compare these ent...
Jinzhong Niu, Kai Cai, Simon Parsons, Peter McBurn...
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...
Holonic multiagent systems (HMAS) offers a promising software engineering approach for developing complex open software systems. However the process of building MultiAgent Systems...
Massimo Cossentino, Nicolas Gaud, Vincent Hilaire,...
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
Louis-Philippe Morency, Iwan de Kok, Jonathan Grat...