In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific form...
Abstract. In open scenarios, agents willing to cooperate must impact the communication barrier between them and their unknown partners. If agents are not relying on any agreement a...
Maria Teresa Pazienza, Savino Sguera, Armando Stel...
In this paper we introduce an object-oriented coordination language for multi-agents systems. The beliefs and reasoning capabilities ent are specified in terms of a corresponding ...
Frank S. de Boer, Cees Pierik, Rogier M. van Eijk,...
Smart avatars are virtual human representations controlled by real people. Given instructions interactively, smart avatars can act as autonomous or reactive agents. During a real-...
Rama Bindiganavale, William Schuler, Jan M. Allbec...