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: FDG (2021)
Keyphrases
- machine learning
- game play
- game players
- imperfect information
- repeated games
- multi player
- video games
- two player games
- boolean games
- role playing game
- digital games
- game playing
- computer poker
- pure nash equilibria
- board game
- card game
- human players
- user experience
- massively multiplayer online role playing games
- computer games
- game theoretic
- data mining
- machine learning algorithms
- semester long
- artificial intelligence
- information extraction
- knowledge acquisition
- game mechanics
- decision trees
- learning algorithm
- pattern recognition
- text mining
- game theory
- explanation based learning
- game design
- medium size
- evaluation function
- online game
- learning tasks
- game based learning
- machine learning methods
- minimax search
- serious games
- natural language processing
- feature selection
- data analysis
- perfect information
- reinforcement learning
- learning experience
- incomplete information
- nash equilibrium
- educational games