Hierarchical Modeling for Strategy-Based Multi-agent Multi-team Systems

Author:

Michael Franklin D.

Publisher

Springer International Publishing

Reference9 articles.

1. Bowling, M., Veloso, M., et al.: Existence of multiagent equilibria with limited agents. J. Artif. Intell. Res. (JAIR) 22, 353–384 (2004)

2. Greenwald, A., Hall, K., Serrano, R.: Correlated Q-learning. ICML 20, 242 (2003)

3. Hu, J., Wellman, M., et al.: Multiagent reinforcement learning: theoretical framework and an algorithm. In: Proceedings of the Fifteenth International Conference on Machine Learning, vol. 242, p. 250. Citeseer (1998)

4. Laviers, K., Sukthankar, G., Aha, D.W., Molineaux, M., Darken, C., et al.: Improving offensive performance through opponent modeling. In: AIIDE (2009)

5. Littman, M.: Markov games as a framework for multi-agent reinforcement learning. In: Proceedings of the Eleventh International Conference on Machine Learning, vol. 157, p. 163 (1994)

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