Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games.
Kenshi AbeMitsuki SakamotoAtsushi IwasakiPublished in: UAI (2022)
Keyphrases
- evolutionary algorithm
- genetic algorithm
- convergence speed
- differential evolution
- data driven
- convergence rate
- population size
- optimal strategy
- least squares
- iterative algorithms
- risk minimization
- mutation operator
- case study
- global convergence
- particle swarm optimization
- genetic algorithm ga
- neural network
- search algorithm
- search engine
- evolutionary programming
- regularized least squares
- clonal selection algorithm
- immune clonal