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2001.02792
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On Computation and Generalization of Generative Adversarial Imitation Learning
International Conference on Learning Representations (ICLR), 2020
9 January 2020
Minshuo Chen
Yizhou Wang
Tianyi Liu
Zhuoran Yang
Xingguo Li
Zhaoran Wang
T. Zhao
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HuggingFace (1 upvotes)
Papers citing
"On Computation and Generalization of Generative Adversarial Imitation Learning"
27 / 27 papers shown
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Shangzhe Li
Dongruo Zhou
Weitong Zhang
OffRL
255
1
0
10 Oct 2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
Yirui Zhou
Xiaowei Liu
Xiaowei Liu
Xiaofeng Zhang
Yangchun Zhang
449
0
0
22 Jan 2025
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
Neural Information Processing Systems (NeurIPS), 2024
Tian Xu
Zhilong Zhang
Ruishuo Chen
Yihao Sun
Yang Yu
349
3
0
01 Nov 2024
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
Yilei Chen
Vittorio Giammarino
James Queeney
I. Paschalidis
283
1
0
26 May 2024
Rank2Reward: Learning Shaped Reward Functions from Passive Video
Daniel Yang
Davin Tjia
Jacob Berg
Dima Damen
Pulkit Agrawal
Abhishek Gupta
OffRL
314
24
0
23 Apr 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo
Tim Pearce
Huayu Chen
Jianfei Chen
Jun Zhu
405
10
0
26 Feb 2024
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
268
13
0
18 Dec 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
183
11
0
11 Jun 2023
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Journal of The Royal Statistical Society Series B-statistical Methodology (JRSSB), 2023
Yunzhe Zhou
C. Shi
Lexin Li
Q. Yao
AI4TS
219
18
0
30 May 2023
Sample-efficient Adversarial Imitation Learning
Journal of machine learning research (JMLR), 2023
Dahuin Jung
Hyungyu Lee
Sung-Hoon Yoon
SSL
431
4
0
14 Mar 2023
Diffusion Model-Augmented Behavioral Cloning
International Conference on Machine Learning (ICML), 2023
Shangcheng Chen
Hsiang-Chun Wang
Ming-Hao Hsu
Chun-Mao Lai
Shao-Hua Sun
DiffM
595
45
0
26 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
OffRL
328
26
0
15 Feb 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Industrial Conference on Data Mining (IDM), 2022
Yizhou Wang
Can Qin
Yue Bai
Yi Xu
Xu Ma
Yun Fu
ViT
331
39
0
28 Jan 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
421
51
0
04 Oct 2022
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
Operational Research (OR), 2022
Siliang Zeng
Mingyi Hong
Alfredo García
OffRL
391
16
0
04 Oct 2022
Proximal Point Imitation Learning
Neural Information Processing Systems (NeurIPS), 2022
Luca Viano
Angeliki Kamoutsi
Gergely Neu
Igor Krawczuk
Volkan Cevher
614
22
0
22 Sep 2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
177
11
0
03 Aug 2022
A Survey on Model-based Reinforcement Learning
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
466
165
0
19 Jun 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
278
6
0
20 May 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
International Conference on Machine Learning (ICML), 2021
Angeliki Kamoutsi
G. Banjac
John Lygeros
OffRL
218
9
0
28 Dec 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
Neural Information Processing Systems (NeurIPS), 2021
Yufeng Zhang
Siyu Chen
Zhuoran Yang
Sai Li
Zhaoran Wang
349
6
0
27 Dec 2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation
Zhihan Liu
Yufeng Zhang
Zuyue Fu
Zhuoran Yang
Zhaoran Wang
OffRL
165
9
0
19 Aug 2021
Online Apprenticeship Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Lior Shani
Tom Zahavy
Shie Mannor
OffRL
357
32
0
13 Feb 2021
Error Bounds of Imitating Policies and Environments
Tian Xu
Ziniu Li
Yang Yu
292
139
0
22 Oct 2020
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ziwei Guan
Tengyu Xu
Yingbin Liang
287
17
0
24 Jun 2020
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
International Conference on Machine Learning (ICML), 2020
Yufeng Zhang
Qi Cai
Zhuoran Yang
Zhaoran Wang
347
12
0
08 Mar 2020
Self-Directed Online Machine Learning for Topology Optimization
Nature Communications (Nat Commun), 2020
Changyu Deng
Yizhou Wang
Can Qin
Yun Fu
Wei Lu
AI4CE
907
102
0
04 Feb 2020
1
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