Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
The TAC 2003 supply-chaingame presented automated trading agents with a challenging strategic problem. Embedded within a complex stochastic environment was a pivotal strategic deci...
Joshua Estelle, Yevgeniy Vorobeychik, Michael P. W...
Abstract. Graphs can be represented symbolically by the Ordered Binary Decision Diagram (OBDD) of their characteristic function. To solve problems in such implicitly given graphs, ...
Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Suc...
Matthias Jarke, Christoph Quix, Guido Blees, Dirk ...
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....