Learning character behaviors using agent modeling in games

Proceedings of the 5th Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2009

Volumn , Issue , 2009, Pages 179-185

  Zhao, Richard ^a   Szafron, Duane ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT MODEL; LEARNING MECHANISM; NEVERWINTER NIGHTS; ROLE-PLAYING GAME; WINNING STRATEGY;

ARTIFICIAL INTELLIGENCE; HUMAN COMPUTER INTERACTION; REINFORCEMENT LEARNING;

ALGORITHMS;

EID: 77955168244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Billings, D., Davidson, A., Schaeffer, J. and Szafron, D. 2002. The challenge of poker. Artificial Intelligence, 134 (1-2), 201- 240.
2. Cutumisu, M. 2009. Using Behavior Patterns to Generate Scripts for Computer Role-Playing Games. PhD thesis, University of Alberta.
3. Cutumisu, M., Szafron, D., Bowling, M., Sutton, R.S. 2008. Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. 4th Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-08), 22-29.
4. NWN. 2009. http://nwn.bioware.com.
5. NWN Arena. 2009. http://ticc.uvt.nl/~pspronck/nwn.html.
6. Schadd, F., Bakkes, S., and Spronck, P. 2007. Opponent Modeling in Real-Time Strategy Games. 8th International Conference on Intelligent Games and Simulation (GAME-ON 2007), 61-68.
7. ScriptEase. 2009. http://www.cs.ualberta.ca/~script/.
8. Sharma, M., Holmes, M., Santamaria, J.C., Irani, A., Isbell, C., Ram, A. 2007. Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL. In International Joint Conference on Artificial Intelligence (IJCAI-07), 1041-1046.
9. Smith, M., Lee-Urban, S., Muñoz-Avila, H. 2007. RETALIATE: Learning Winning Policies in First-Person Shooter Games. In Proceedings of the Nineteenth Innovative Applications of Artificial Intelligence Conference (IAAI-07), 1801-1806.
10. Spronck, P., Ponsen, M., Sprinkhuizen-Kuyper, I., and Postma, E. 2006. Adaptive Game AI with Dynamic Scripting. Machine Learning 63(3): 217-248.
11. Spronck, P., Sprinkhuizen-Kuyper, I., and Postma, E. 2003. Online Adaptation of Computer Game Opponent AI. Proceedings of the 15th Belgium-Netherlands Conference on AI. 291-298.
12. Sutton, R.S., and Barto, A.G. eds. 1998. Reinforcement Learning: An Introduction. Cambridge, Mass.: MIT Press.
13. Sutton, R.S. 1992. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta. In Proceedings of the 10th National Conference on AI, 171-176.
14. Szita, I., Ponsen, M., and Spronck, P. 2008. Keeping Adaptive Game AI Interesting. In Proceedings of CGAMES 2008, 70-74.
15. Timuri, T., Spronck, P., and van den Herik, J. 2007. Automatic Rule Ordering for Dynamic Scripting. In Proceedings of the 3rd AIIDE Conference, 49-54, Palo Alto, Calif.: AAAI Press.
16. Uther, W., and Veloso, M. 1997. Adversarial reinforcement learning. Tech. rep., Carnegie Mellon University. Unpublished.