Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne.
Edgar GalvánGavin SimpsonFred Valdez AmeneyroPublished in: CoRR (2022)
Keyphrases
- evolutionary algorithm
- confidence bounds
- monte carlo tree search
- multi objective
- evolution process
- evolutionary process
- monte carlo
- game tree
- evolutionary computation
- differential evolution
- multi objective optimization
- game theory
- computer games
- genetic algorithm
- game playing
- fitness function
- genetic programming
- function optimization
- semantic knowledge
- decision trees
- high level
- video games
- semantic annotation
- mutation operator
- tree structure
- game play
- game based learning
- semantic information
- game development
- nash equilibria
- virtual world
- tree nodes
- imperfect information
- semantic description
- optimization algorithm
- semantic network
- tree structures
- evaluation function
- educational games