Estimating player completion rate in mobile puzzle games using reinforcement learning.
Jeppe Theiss KristensenArturo ValdiviaPaolo BurelliPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- game play
- two player games
- repeated games
- pure nash equilibria
- board game
- boolean games
- imperfect information
- action sets
- game players
- mobile devices
- mobile phone
- temporal difference learning
- mobile games
- function approximation
- learning agents
- computer poker
- state space
- multi player
- game playing
- mobile networks
- learning algorithm
- markov decision processes
- computer games
- evaluation function
- mobile learning
- optimal policy
- game theory
- video games
- reinforcement learning agents
- reinforcement learning algorithms
- nash equilibrium
- card game
- game mechanics
- incomplete information
- human players
- perfect information
- playing games
- serious games
- machine learning
- android application
- minimax search
- multiagent learning
- mobile users
- action space
- nash equilibria
- online game
- educational games
- game design
- dynamic programming
- search algorithm
- temporal difference
- multi agent