Adapting Recognition of Shootable Situations by Learning from Experience and Observation in a RoboCup Simulated Soccer Game.
Tomomi KawarabayashiTakenori KuboIsamu TakahashiJousuke KuroiwaTomohiro OdakaHisakazu OguraPublished in: AMiRE (2005)
Keyphrases
- learning from experience
- soccer game
- recognition accuracy
- pattern recognition
- multi agent
- video games
- feature extraction
- object recognition
- real world
- recognition rate
- computer games
- recognition process
- game theory
- game design
- automatic recognition
- recognition algorithm
- nash equilibria
- world cup
- visual recognition
- game theoretic
- game play
- test bed
- d objects
- educational games
- decision problems
- action recognition