Temporal difference control within a dynamic environment

8th International Conference on Intelligent Games and Simulation, GAME-ON 2007

Volumn , Issue , 2007, Pages 42-47

  Galway, Leo ^a   Charles, Darryl ^a   Black, Michaela ^a   Fyfe, Colin ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

Digital games; Pac man; Reinforcement learning; Sarsa

Indexed keywords

DIGITAL GAMES; DYNAMIC ENVIRONMENTS; PAC-MAN; PAC-MAN GAMES; PARAMETER VALUES; SARSA; TEMPORAL DIFFERENCE LEARNING; TEMPORAL DIFFERENCES;

COMPUTER GAMES; REINFORCEMENT LEARNING;

LEARNING ALGORITHMS;

EID: 68949112289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Baekkelund, C. 2006. "A Brief Comparison of Machine Learning Methods." In AI Game Programming Wisdom 3, S. Rabin (Ed.). Charles River Media, Hingham, MA. 617-631.
2. Charles, D. 2003. "Enhancing Gameplay: Challenges for Artificial Intelligence in Digital Games." In Proceedings of Digital Games Research Conference (University of Utrecht, Netherlands).
3. Duan, J., Gough, N. and Mehdi, Q. 2002. "Multi-Agent Reinforcement Learning for Computer Game Agents." In Intelligent Games and Simulation, Q. Mehdi, N. Gough and M. Cavazza (Eds.). University of Wolverhampton, UK. 104-109.
4. Gallagher, M. and Ledwich, M. 2007. "Evolving Pac-Man Players: Can We Learn From Raw Input?" IEEE Symposium on Computational Intelligence and Games. 282-287.
5. Gallagher, M. and Ryan, A. 2003. "Learning To Play Pac-Man: An Evolutionary Rule-Based Approach." IEEE Congress on Evolutionary Computation, 2462-2469.
6. Galway, L., Charles, D. and Black, M. 2006. "A Set of Guidelines for the Evaluation of Real-Time Machine Learning Techniques for use in Digital Games." In Proceedings of 9th Annual Conference on Computer Games: AI, Animation, Mobile, Educational & Serious Games (Dublin, Ireland). 52-56.
7. Graepel, T., Herbrich, R. and Gold, J. 2004. "Learning To Fight". In Computer Games: Artificial Intelligence, Design and Education, Q. Mehdi, N. Gough, S. Natkin & D. Al-Dabass (Eds.). University of Wolverhampton, UK. 193-200.
8. Hartley, T., Mehdi, Q. and Gough, N. 2004. "Applying Markov Decision Processes To 2D Real Time Games". In Computer Games: Artificial Intelligence, Design and Education, Q. Mehdi, N. Gough, S. Natkin & D. Al-Dabass (Eds.). University of Wolverhampton, UK. 55-59.
9. Koza, J.R. 1993. Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge, MA.
10. Lucas, S. 2006. "Evolving A Neural Network Location Evaluator To Play Ms. Pac-Man." 2005. IEEE Symposium on Computational Intelligence and Games, 203-210.
11. Maes, P. 1995. "Artificial Life Meets Entertainment: Lifelike Autonomous Agents." Communications of the ACM 38, No. 11, 108-114.
12. Pfeiffer, M. 2004. "Reinforcement Learning of Strategies for Settlers of Catan." In Computer Games: Artificial Intelligence, Design and Education, Q. Mehdi, N. Gough, S. Natkin & D. Al-Dabass (Eds.). University of Wolverhampton, UK. 384-388.
13. Spronck, P. 2005. "A Model for Reliable Adaptive Game intelligence." In Proceedings of 2005 Workshop on Reasoning, Representation, and Learning in Computer Games (Washington, VA).
14. Sutton, R.S. and Barto, A.G. 1998. Reinforcement Learning: An Introduction. The MIT Press, Cambridge, MA.
15. Van Lent, M. and Laird, J. 1999. "Developing an Artificial Intelligence Engine." In Proceedings of 1999 Game Developers Conference (San Jose, CA). 577-588.
16. Yannakakis, G. and Hallam, J. 2004. "Evolving Opponents For Interesting Interactive Computer Games." In Proceedings of 8th International Conference on Simulation of Adaptive Behaviour, 499-508