A furthered understanding of the aesthetic aspects of narrative is important to both people and machines who wish to author pleasing narratives. This paper gives an account of the...
d Abstract) Luboˇs Brim and Jiˇr´ı Barnat Faculty of Informatics, Masaryk University, Brno, Czech Republic With the increase in the complexity of computer systems, it becomes e...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Interactions among agents can be conveniently described by game trees. In order to analyze a game, it is important to derive optimal (or equilibrium) strategies for the di erent p...
Daphne Koller, Nimrod Megiddo, Bernhard von Stenge...