When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence.
Ziwei GuanTengyu XuYingbin LiangPublished in: AISTATS (2021)
Keyphrases
- global convergence
- learning algorithm
- global optimum
- convergence rate
- convergence analysis
- convergence speed
- optimization methods
- reinforcement learning
- generative model
- convex minimization
- machine learning algorithms
- constrained optimization problems
- coordinate ascent
- particle swarm
- line search
- supervised learning
- learning problems
- neural network
- learning tasks
- active learning
- training data
- machine learning
- globally convergent
- step size
- training samples
- hybrid algorithm
- multi objective
- learning models
- generalization error
- multiscale
- semi supervised
- maximum margin
- optimization method
- simulated annealing