Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Service-Oriented Computing and Agent Technology are nowadays two of the most active research fields in distributed and open systems. However, when trying to bridge the two worlds,...
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
In the literature on agent systems, the proactive behavior of agents is often modeled in terms of goals that the agents pursue. We review a number of commonly-used existing goal t...
M. Birna van Riemsdijk, Mehdi Dastani, Michael Win...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser