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ICML
2003
IEEE
14 years 29 days ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita
ACMACE
2007
ACM
13 years 11 months ago
Playing with your brain: brain-computer interfaces and games
In this workshop we investigate a possible role of brain-computer interaction in computer games and entertainment computing. The assumption is that brain activity, whether it is c...
Anton Nijholt, Desney S. Tan
DALT
2009
Springer
13 years 11 months ago
Explaining and Predicting the Behavior of BDI-Based Agents in Role-Playing Games
Abstract. Virtual characters in games operate in a social context involving other characters and human players. If such socially situated virtual characters are to be considered be...
Michal P. Sindlar, Mehdi Dastani, Frank Dignum, Jo...
IJVR
2007
101views more  IJVR 2007»
13 years 7 months ago
Playful Geospatial Data Acquisition by Location-based Gaming Communities
—The success of Web 2.0 communities demonstrates that the users of an information service are willing to participate in the content creation process on a voluntary basis. In this...
Sebastian Matyas
AIIDE
2008
13 years 10 months ago
Learning and Playing in Wubble World
Children do not learn the meanings of words from parsing and understanding gigabytes of text; instead meanings are learned from competent speakers who relate language to what'...
Wesley Kerr, Paul R. Cohen, Yu-Han Chang