Generative Adversarial Imitation Learning with Neural Networks: Global
Optimality and Convergence Rate

Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate

8 March 2020

Papers citing "Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate"

11 / 11 papers shown

Title
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality Ruijia Zhang Siliang Zeng Chenliang Li Alfredo García Mingyi Hong 62 0 0 22 Mar 2025
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation Yoshihisa Tsurumine Takamitsu Matsubara 22 13 0 21 Sep 2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis Tian Xu Ziniu Li Yang Yu Zhimin Luo 11 7 0 03 Aug 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 6 3 0 21 Jun 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 19 7 0 28 Dec 2021
Online Apprenticeship Learning Lior Shani Tom Zahavy Shie Mannor OffRL 22 25 0 13 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 43 221 0 27 Jan 2021
Mathematical Models of Overparameterized Neural Networks Cong Fang Hanze Dong Tong Zhang 19 22 0 27 Dec 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 34 121 0 11 Nov 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 15 116 0 22 Oct 2020
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence Ziwei Guan Tengyu Xu Yingbin Liang 6 16 0 24 Jun 2020