-superlinear convergence for stochastic games on domains.
Kazufumi ItoChristoph ReisingerYufei ZhangPublished in: CoRR (2019)
Keyphrases
- stochastic games
- nash equilibria
- superlinear convergence
- markov decision processes
- quasi newton
- reinforcement learning algorithms
- nash equilibrium
- multi agent
- reinforcement learning
- robust optimization
- mathematical programming
- incomplete information
- mean shift
- text classification
- learning automata
- average reward
- optimization problems
- newton method
- least squares
- neural network