Search Results for author:
Found 5 papers, 1 papers with code
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms
These recurrent neural network-based controls are then trained using a modified version of Brown's fictitious play, incorporating deep learning techniques.
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
A computational framework that leverages data from self-consistent field theory simulations with deep learning to accelerate the exploration of parameter space for block copolymers is presented.
Pandemic Control, Game Theory and Machine Learning
Game theory has been an effective tool in the control of disease spread and in suggesting optimal policies at both individual and area levels.
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Game theory has been an effective tool in the control of disease spread and in suggesting optimal policies at both individual and area levels.
