We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Abstract In this paper we focus on property-preserving preorders between timed game automata and their application to control of partially observable systems. We define timed weak ...
Peter Bulychev, Thomas Chatain, Alexandre David, K...
General Game Playing (GGP) contest provides a research framework suitable for developing and testing AGI approaches in game domain. In this paper, we propose a new modification of...
—Many specifications include assumptions on the environment. If the environment satisfies the assumptions then a correct system reacts as intended. However, when the environmen...
Roderick Bloem, Karin Greimel, Thomas A. Henzinger...
This study examines the usability challenges faced by new players of massively multiplayer online role-playing games (MMORPGs), one of the fastest-growing segments of the video ga...