Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends.
Tiffany D. DoSeong Ioi WangDylan S. YuMatthew G. McMillianRyan P. McMahanPublished in: CoRR (2021)
Keyphrases
- machine learning
- game play
- game players
- repeated games
- two player games
- digital games
- video games
- imperfect information
- multi player
- game playing
- computer games
- board game
- computer poker
- learning algorithm
- pure nash equilibria
- role playing game
- card game
- boolean games
- game mechanics
- machine learning methods
- game theory
- human players
- game design
- massively multiplayer online role playing games
- learning experience
- serious games
- learning tasks
- pattern recognition
- computer vision
- feature selection
- game based learning
- explanation based learning
- machine learning algorithms
- data analysis
- decision trees
- small size
- educational games
- nash equilibrium
- semester long
- computer science
- active learning
- perfect information
- knowledge representation
- past experience
- adventure game
- artificial intelligence
- data mining
- supervised learning
- natural language processing
- text mining
- text classification
- user experience
- knowledge acquisition
- game tree
- online game
- virtual world
- learning processes
- inductive logic programming
- evaluation function
- incomplete information