Learning probabilistic behavior models in real-time strategy games

Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011

Volumn , Issue , 2011, Pages 20-25

  Dereszynski, Ethan ^a   Hostetler, Jesse ^a   Fern, Alan ^a   Dietterich, Tom ^a   Hoang, Thao Trang ^a   Udarbe, Mark ^a  

^a Oregon State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA-CENTRIC APPROACHES; PROBABILISTIC BEHAVIOR; PROBABILISTIC MODELS; PROBABILISTIC PREDICTION; QUALITATIVE AND QUANTITATIVE ASSESSMENTS; REAL-TIME STRATEGY GAMES; STRATEGIC BEHAVIOR; STRATEGIC CONCEPTS;

ARTIFICIAL INTELLIGENCE; HIDDEN MARKOV MODELS; HUMAN COMPUTER INTERACTION; REAL TIME SYSTEMS;

COMPUTER SOFTWARE;

EID: 84883089437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Aha, D. W.; Molineaux, M.; and Ponsen, M. 2005. Learning to win: Case-based plan selection in a real-time strategy game. Case-Based Reasoning Res. Dev. 5-20.
2. Balla, R., and Fern, A. 2009. UCT for tactical assault planning in real-time strategy games. In IJCAI, 40-45.
3. Chung, M.; Buro, M.; and Schaeffer, J. 2005. Monte Carlo planning in RTS games. In IEEE CIG, 117-124.
4. Dempster, A. P.; Laird, N. M.; and Rubin, D. B. 1977. Maximum likelihood from incomplete data via the EM algorithm. JRSS B 39(1):1-38.
5. Hsieh, J., and Sun, C. 2008. Building a player strategy model by analyzing replays of real-time strategy games. In IJCNN, 3106-3111. IEEE.
6. Murphy, K. 2002. Dynamic Bayesian Networks: Representation, Inference, and Learning. Ph.D. Dissertation, University of California, Berkeley, Berkeley, California.
7. Ontañón, S.; Mishra, K.; Sugandh, N.; and Ram, A. 2007. Casebased planning and execution for real-time strategy games. Case-Based Reasoning Res. Dev. 164-178.
8. Rabiner, L. R. 1990. A tutorial on hidden Markov models and selected applications in speech recognition. In Readings in speech recognition. Morgan Kaufmann. 267-296.
9. Schadd, F.; Bakkes, S.; and Spronck, P. 2007. Opponent modeling in real-time strategy games. In 8th Int'l Conf. on Intelligent Games and Simulation, 61-68.
10. Weber, B., and Mateas, M. 2009. A data mining approach to strategy prediction. In IEEE CIG, 140-147. IEEE.