Sample Efficient Multiagent Learning in the Presence of Markovian Agents
The problem of Multiagent Learning (or MAL) is concerned with the study of how intelligent entities can learn and adapt in the presence of other such entities that are simultaneously adapting. The problem is often studied in the stylized settings provided by repeated matrix games (a.k.a. normal form...
Guardado en:
| Autor principal: | |
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| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Colección: | Studies in Computational Intelligence,
523 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-319-02606-0 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Introduction
- Background
- Learn or Exploit in Adversary Induced Markov Decision Processes
- Convergence, Targeted Optimality and Safety in Multiagent Learning
- Maximizing
- Targeted Modeling of Markovian agents
- Structure Learning in Factored MDPs
- Related Work
- Conclusion and Future Work.