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When Will Generative Adversarial Imitation Learning Algorithms Attain
  Global Convergence

When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence

24 June 2020
Ziwei Guan
Tengyu Xu
Yingbin Liang
ArXivPDFHTML

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

6 / 6 papers shown
Title
Exploring Gradient Explosion in Generative Adversarial Imitation
  Learning: A Probabilistic Perspective
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Wanying Wang
Yichen Zhu
Yirui Zhou
Chaomin Shen
Jian Tang
Zhiyuan Xu
Yaxin Peng
Yangchun Zhang
16
4
0
18 Dec 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood
  Framework for Offline Inverse Reinforcement Learning
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
26
13
0
15 Feb 2023
Auto-Encoding Adversarial Imitation Learning
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
17
1
0
22 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and
  Policy
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy
E. Uchibe
8
3
0
21 Jun 2022
Generative Adversarial Imitation Learning with Neural Networks: Global
  Optimality and Convergence Rate
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
Yufeng Zhang
Qi Cai
Zhuoran Yang
Zhaoran Wang
82
12
0
08 Mar 2020
On the Sample Complexity of Actor-Critic Method for Reinforcement
  Learning with Function Approximation
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Harshat Kumar
Alec Koppel
Alejandro Ribeiro
99
79
0
18 Oct 2019
1