Deterministic Approximation of a Stochastic Imitation Dynamics with Memory.
Ozgur AydogmusYun KangPublished in: Dyn. Games Appl. (2024)
Keyphrases
- monte carlo sampling
- discrete random variables
- stochastic methods
- stochastic optimization problems
- approximation schemes
- stage stochastic programs
- monte carlo
- memory space
- dynamic model
- memory usage
- error bounds
- closed form
- relaxation algorithm
- memory requirements
- approximation error
- approximation algorithms
- memory size
- computational power
- approximation methods
- approximation guarantees
- computational models
- stochastic processes
- computing power
- main memory
- fully observable
- dynamical systems
- neural network