Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria.
Gabriele FarinaChristian KroerTuomas SandholmPublished in: EC (2021)
Keyphrases
- convergence rate
- nash equilibrium
- nash equilibria
- game theory
- game theoretic
- convergence speed
- learning rate
- gaussian kernels
- social welfare
- decision making
- decision problems
- incomplete information
- global convergence
- primal dual
- decision makers
- numerical stability
- conjugate gradient
- data dependent
- long run
- fixed point
- stopping criterion
- evolutionary algorithm
- multi objective
- regularization parameter
- utility function
- feature selection
- dynamical systems
- mixed strategy