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» Formalizing Multi-state Learning Dynamics
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IAT
2008
IEEE
13 years 11 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
ECAI
2010
Springer
13 years 2 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
ATAL
2008
Springer
13 years 7 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
UML
2005
Springer
13 years 10 months ago
Lessons Learned from Developing a Dynamic OCL Constraint Enforcement Tool for Java
Analysis and design by contract allows the definition of a formal agreement between a class and its clients, expressing each party’s rights and obligations. Contracts written in ...
Wojciech J. Dzidek, Lionel C. Briand, Yvan Labiche
ATAL
2009
Springer
13 years 11 months ago
State-coupled replicator dynamics
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg