On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne.
Edgar GalvánGavin SimpsonPublished in: SSCI (2021)
Keyphrases
- evolutionary algorithm
- confidence bounds
- evolution process
- monte carlo tree search
- evolutionary computation
- evolutionary process
- optimization problems
- multi objective
- genetic algorithm
- educational games
- multi objective optimization
- computer games
- differential evolution
- decision trees
- fitness function
- mutation operator
- differential evolution algorithm
- game theory
- game playing
- simulated annealing
- video games
- serious games
- genetic operators
- nash equilibrium
- learning environment
- objective function
- natural selection
- tree nodes
- neural network