In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
—The development of theoretical-based methods for the assessment of multi-agent systems properties is of critical importance. This work investigates methodologies for modeling, a...
Jose R. Celaya, Alan A. Desrochers, Robert J. Grav...
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
Many knowledge acquisition approaches have been proposed to minimize the cognitive effort in knowledgebased system construction. The knowledge acquisition approach proposed here p...
Understanding flow in the three-dimensional phase space is challenging both to human experts and to current computer science technology. To break through the barrier, we are build...