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ACOM
2004
Springer
15 years 9 months ago
Formulating Agent Communication Semantics and Pragmatics as Behavioral Expectations
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...
NIPS
2001
15 years 5 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
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...
Shie Mannor, Nahum Shimkin
ICAART
2010
INSTICC
16 years 1 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
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...
Christos Dimitrakakis
CIA
2007
Springer
15 years 10 months ago
Multi-agent Learning Dynamics: A Survey
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...
AIED
2009
Springer
15 years 7 months ago
Can Virtual Human Build Rapport and Promote Learning?
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 ...
Ning Wang, Jonathan Gratch