CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games.
Dawen WuAbdel LisserPublished in: Inf. Sci. (2023)
Keyphrases
- nash equilibrium
- deep learning
- chance constrained
- game theory
- stochastic programming
- nash equilibria
- game theoretic
- solution concepts
- robust optimization
- unsupervised learning
- fictitious play
- pareto optimal
- stackelberg game
- mixed strategy
- machine learning
- knapsack problem
- computationally tractable
- worst case
- pure strategy
- multistage
- mental models
- incomplete information
- lower bound
- optimal solution
- genetic algorithm