Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate.
Yufeng ZhangQi CaiZhuoran YangZhaoran WangPublished in: ICML (2020)
Keyphrases
- convergence rate
- imitation learning
- global optimality
- neural network
- globally optimal
- global optimization
- convergence speed
- step size
- learning rate
- maximum margin
- optimal solution
- humanoid robot
- reinforcement learning
- generative model
- robotic systems
- primal dual
- objective function
- convex functions
- genetic algorithm
- probabilistic model
- high order
- graph cuts
- dynamic programming
- lower bound
- image segmentation
- support vector