Game AI for Domination Games

Author:

Hogg Chad,Lee-Urban Stephen,Muñoz-Avila Héctor,Auslander Bryan,Smith Megan

Publisher

Springer New York

Reference18 articles.

1. Auslander, B., Lee-Urban, S., Hogg, C., Muñoz-Avila, H.: Recognizing the enemy: Combining reinforcement learning with strategy selection using case-based reasoning. In: Proceedings of the Ninth European Conference on Case-Based Reasoning (ECCBR-08), pp. 59–73. Springer (2008). Trier, Germany

2. Gillespie, K., Karneeb, J., Lee-Urban, S., Muñoz-Avila, H.: Imitating inscrutable enemies: Learning from stochastic policy observation, retrieval and reuse. In: Proceedings of the 18th International Conference on Case-Based Reasoning (ICCBR-10). AI Press (2010)

3. Hoang, H., Lee-Urban, S., Muñoz-Avila, H.: Hierarchical plan representations for encoding strategic game AI. In: Proceedings of the First Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-05). AAAI Press (2005). Marina del Ray, CA

4. Hogg, C., Kuter, U., Muñoz-Avila, H.: Learning methods to generate good plans: Integrating HTN learning and reinforcement learning. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10). AAAI Press (2010)

5. Hogg, C., Lee-Urban, S., Auslander, B., Muñoz-Avila, H.: Discovering feature weights for feature-based indexing of q-tables. In: Proceedings of the Uncertainty and Knowledge Discovery in CBR Workshop at the 9th European Conference on Case-Based Reasoning (ECCBR-08) (2008)

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