Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games.
Kenshi AbeMitsuki SakamotoAtsushi IwasakiPublished in: CoRR (2022)
Keyphrases
- evolutionary algorithm
- genetic algorithm
- convergence speed
- data driven
- differential evolution
- optimal strategy
- mutation operator
- total least squares
- risk minimization
- convergence analysis
- convergence rate
- genetic algorithm ga
- data sets
- learning algorithm
- evolutionary process
- population size
- evolutionary programming
- population diversity
- fitness function
- regularization method
- simulated annealing
- supply chain