Abstract. Although several approaches to the semantics of agent communication have been proposed, none of them is really suitable for dealing with agent autonomy, which is a decisi...
Matthias Nickles, Michael Rovatsos, Gerhard Wei&sz...
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...
Research show that teacher's nonverbal immediacy can have a positive impact on student's cognitive learning and affect [31]. This paper investigates the effectiveness of ...