Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries | npj Computational Materials
Applications of game theory in deep learning: a survey | SpringerLink
Playing Games with Python — Part 1: Tic Tac Toe | by Rohit Agrawal | Towards Data Science
Minimax Algorithm with Alpha-beta pruning - HackerEarth Blog
![PDF] IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/bead8973ff87831f7ee41c5adda777f6021cdcea/4-Figure1-1.png "PDF] IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models | Semantic Scholar")
PDF] IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models | Semantic Scholar
Minimax Algorithm with Alpha-beta pruning - HackerEarth Blog
Unsupervised Neural Nets Fight in a Minimax Game - One Net Maximizes the Value Function Minimized by the Other
A generative adversarial network for synthetization of regions of interest based on digital mammograms | Scientific Reports
Electronics | Free Full-Text | A Survey of Recent Advances in Quantum Generative Adversarial Networks
Artificial Intelligence | Mini-Max Algorithm - Javatpoint
Generative Adversarial Network (GAN) - GeeksforGeeks
Solved Adversarial Search Question 1. Consider the | Chegg.com
Minimax - Wikipedia
GANs — A brief overview (Part 1) | Analytics Vidhya
Applied Sciences | Free Full-Text | Improvement of Learning Stability of Generative Adversarial Network Using Variational Learning
Minimax - Wikipedia
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing – arXiv Vanity
Parallel hybrid computational model of minimax search in a game tree. | Download Scientific Diagram
The original generative adversarial network (GAN) model. In simple... | Download Scientific Diagram
Minimax Algorithm with Alpha-beta pruning - HackerEarth Blog
What's GAN (generative adversarial networks), how it works?
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models | Nature Machine Intelligence
How to Code the GAN Training Algorithm and Loss Functions - MachineLearningMastery.com
