Using inverse optimization to learn cost functions in generalized Nash games.
Stephanie AllenSteven A. GabrielJohn P. DickersonPublished in: Comput. Oper. Res. (2022)
Keyphrases
- cost function
- nash equilibrium
- game theory
- nash equilibria
- optimization problems
- global optimization
- cooperative game
- game theoretic
- weighted constraint satisfaction
- optimization algorithm
- computer games
- constrained optimization
- multi agent
- search space reduction
- optimization method
- decision makers
- optimization process
- cooperative
- quadratic programming
- max min
- objective function
- reinforcement learning agents
- neural network