We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Cooperation ina task oriented multi-agent team is important because a well designed cooperation strategy among a group of cooperating agents can lead to an increase of the group p...
In this paper we want to propose the idea that some techniques used for animal training might be helpful for solving human robot interaction problems in the context of entertainme...
A well designed cooperation strategy for a task oriented multi-agent team is important as it can improve performance. A challenging research issue in cooperation concerns the exten...
Work processes are conducted in various contexts and they involve different tasks, interruptions, activities and actions. In all of these, tacit knowledge plays a part. Some part ...