The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation.
Simon M. LucasJialin LiuDiego Perez LiebanaPublished in: CoRR (2018)
Keyphrases
- evolutionary algorithm
- real time strategy games
- evolutionary process
- multi objective
- evolutionary computation
- genetic algorithm
- multi agent
- multi agent systems
- general game playing
- multiagent systems
- differential evolution
- rational agents
- intelligent agents
- opponent modeling
- function optimization
- game play
- game theoretic
- autonomous agents
- fitness function
- minority game
- computer games
- educational games
- game playing
- agent model
- video games
- multiple agents
- game theory
- decision making
- random sampling
- multi objective optimization
- imperfect information
- crossover operator
- resource allocation
- action selection
- human players
- card game
- decision theoretic
- software agents
- mutation operator
- neural network
- nash equilibrium
- learning agent
- social welfare
- game design
- agent technology
- nsga ii
- dynamic environments
- serious games
- trading agent competition