This research explores productive multi-player games as a platform for human-computer agent collaboration. A multiagent perspective is taken to examine the principles of both game...
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Abstract. In this paper we are concerned with proposing, analyzing and implementing simple, yet flexible, constructs for multi-agent programming. In particular, we wish to extend ...
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Planning has traditionally focused on single agent systems. Although planning domain languages have been extended to multiagent domains, solution concepts have not. Previous solut...
Michael H. Bowling, Rune M. Jensen, Manuela M. Vel...