On the Global Convergence of Imitation Learning: A Case for Linear
Quadratic Regulator

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator

11 January 2019

Papers citing "On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator"

10 / 10 papers shown

Title
Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang Davin Tjia Jacob Berg Dima Damen Pulkit Agrawal Abhishek Gupta OffRL 40 5 0 23 Apr 2024
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints Hui-Li Zhang Junlin Wang Zi Xu Y. Dai 88 4 0 09 Dec 2022
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems Zi Xu Ziqi Wang Junlin Wang Y. Dai 21 11 0 24 Nov 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 26 7 0 28 Dec 2021
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity Junchi Yang Antonio Orvieto Aurelien Lucchi Niao He 27 62 0 10 Dec 2021
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate Yufeng Zhang Qi Cai Zhuoran Yang Zhaoran Wang 111 12 0 08 Mar 2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems Junchi Yang Negar Kiyavash Niao He 25 83 0 22 Feb 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 35 40 0 09 Jan 2020
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 32 39 0 14 Jul 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 58 120 0 05 Feb 2018