Solving Multi-agent Decision Problems Modeled as Dec-POMDP: A Robot Soccer Case Study-Reference-Cited by-同舟云学术

Solving Multi-agent Decision Problems Modeled as Dec-POMDP: A Robot Soccer Case Study

Published:2013 Issue: Volume: Page:130-140
ISSN:0302-9743
Container-title:RoboCup 2012: Robot Soccer World Cup XVI
language:
Short-container-title:

Author:

Aşık Okan,Akın H. Levent

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-39250-4_13

Reference17 articles.

1. Eker, B.: Evolutionary Algorithms for Solving DEC-POMDP Problems. PhD thesis, Boğaziçi University (2012)

2. Bernstein, D.S., Hansen, E.A., Zilberstein, S.: Bounded Policy Iteration for Decentralized POMDPs. In: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, pp. 1287–1292 (2005)

3. Balch, T.: Teambots mobile robot simulator (2000)

4. Meriçli, Ç., Meriçli, T., Levent Akın, H.: A Reward Function Generation Method Using Genetic Algorithms: A Robot Soccer Case Study. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2010, Richland, SC, vol. 1, pp. 1513–1514 (2010); International Foundation for Autonomous Agents and Multiagent Systems

5. Bernstein, D.S., Givan, R., Immerman, N., Zilberstein, S.: The Complexity of Decentralized Control of Markov Decision Processes. Math. Oper. Res. 27, 819–840 (2002)

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