Learning in Networked Interactions: A Replicator Dynamics Approach

@inproceedings{Bloembergen2014LearningIN,
  title={Learning in Networked Interactions: A Replicator Dynamics Approach},
  author={Daan Bloembergen and Ipek Caliskanelli and Karl Tuyls},
  booktitle={ALIA},
  year={2014}
}
Many real-world scenarios can be modelled as multi-agent systems, where multiple autonomous decision makers interact in a single environment. The complex and dynamic nature of such interactions prevents hand-crafting solutions for all possible scenarios, hence learning is crucial. Studying the dynamics of multi-agent learning is imperative in selecting and… CONTINUE READING