Estimating Player Completion Rate in Mobile Puzzle Games Using Reinforcement Learning.
Jeppe Theiss KristensenArturo ValdiviaPaolo BurelliPublished in: CoG (2020)
Keyphrases
- reinforcement learning
- game play
- boolean games
- two player games
- pure nash equilibria
- action sets
- game players
- imperfect information
- repeated games
- board game
- mobile games
- multi player
- video games
- computer games
- mobile phone
- game playing
- function approximation
- mobile devices
- temporal difference learning
- learning agents
- reinforcement learning agents
- computer poker
- human players
- evaluation function
- wireless link
- mobile learning
- reinforcement learning algorithms
- game design
- educational games
- game mechanics
- multiagent learning
- game theory
- machine learning
- playing games
- android application
- optimal policy
- learning experience
- game theoretic
- incomplete information
- mobile applications
- nash equilibria
- user experience
- context aware
- state space
- mobile users
- markov decision process
- multi agent
- temporal difference