When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence

24 June 2020

Papers citing "When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence"

7 / 7 papers shown

Title
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective Wanying Wang Yichen Zhu Yirui Zhou Yaxin Peng Jian Tang Zhiyuan Xu Chaomin Shen Yangchun Zhang 34 4 0 18 Dec 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 34 13 0 15 Feb 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 42 0 04 Oct 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 26 1 0 22 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 23 3 0 21 Jun 2022
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate Yufeng Zhang Qi Cai Zhuoran Yang Zhaoran Wang 116 12 0 08 Mar 2020
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 104 80 0 18 Oct 2019