When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence.
Ziwei GuanTengyu XuYingbin LiangPublished in: CoRR (2020)
Keyphrases
- global convergence
- learning algorithm
- convergence speed
- global optimum
- optimization methods
- convergence rate
- convergence analysis
- reinforcement learning
- convex minimization
- constrained optimization problems
- coordinate ascent
- generative model
- machine learning algorithms
- machine learning
- training data
- learning problems
- hybrid algorithm
- line search
- active learning
- back propagation
- globally convergent
- optimization problems
- training samples
- learning tasks
- newton method
- gauss newton
- neural network