GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks.
Salah GhamiziJingfeng ZhangMaxime CordyMike PapadakisMasashi SugiyamaYves Le TraonPublished in: ICML (2023)
Keyphrases
- pareto optimal
- multi objective
- multi objective optimization
- multiple objectives
- multi issue negotiation
- optimal solution
- pareto optimality
- pareto dominance
- nash equilibrium
- nsga ii
- evolutionary algorithm
- training set
- pareto optimal set
- multi agent
- training samples
- np complete
- genetic programming
- pareto optimal solutions
- conflicting objectives
- decision makers