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Provably and Practically Efficient Adversarial Imitation Learning with
  General Function Approximation

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation

1 November 2024
Tian Xu
Zhilong Zhang
Ruishuo Chen
Yihao Sun
Yang Yu
ArXiv (abs)PDFHTML

Papers citing "Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation"

23 / 23 papers shown
Title
Provably Efficient Adversarial Imitation Learning with Unknown
  Transitions
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
64
10
0
11 Jun 2023
Minimax Optimal Online Imitation Learning via Replay Estimation
Minimax Optimal Online Imitation Learning via Replay Estimation
Gokul Swamy
Nived Rajaraman
Matt Peng
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
Jiantao Jiao
Kannan Ramchandran
OffRL
195
21
0
30 May 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
D. Tiapkin
Denis Belomestny
Eric Moulines
A. Naumov
S. Samsonov
Yunhao Tang
Michal Valko
Pierre Menard
93
19
0
16 May 2022
Provably Efficient Generative Adversarial Imitation Learning for Online
  and Offline Setting with Linear Function Approximation
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
54
6
0
19 Aug 2021
Mastering Visual Continuous Control: Improved Data-Augmented
  Reinforcement Learning
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
109
351
0
20 Jul 2021
IQ-Learn: Inverse soft-Q Learning for Imitation
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg
Shuvam Chakraborty
Chris Cundy
Jiaming Song
Matthieu Geist
Stefano Ermon
92
189
0
23 Jun 2021
Error Bounds of Imitating Policies and Environments
Error Bounds of Imitating Policies and Environments
Tian Xu
Ziniu Li
Yang Yu
85
120
0
22 Oct 2020
Toward the Fundamental Limits of Imitation Learning
Toward the Fundamental Limits of Imitation Learning
Nived Rajaraman
Lin F. Yang
Jiantao Jiao
K. Ramachandran
155
87
0
13 Sep 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
146
1,836
0
08 Jun 2020
Imitation Learning via Off-Policy Distribution Matching
Imitation Learning via Off-Policy Distribution Matching
Ilya Kostrikov
Ofir Nachum
Jonathan Tompson
OODOffRL
158
205
0
10 Dec 2019
A Divergence Minimization Perspective on Imitation Learning Methods
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour
R. Zemel
S. Gu
83
250
0
06 Nov 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
193
1,940
0
07 Sep 2019
Provably Efficient Reinforcement Learning with Linear Function
  Approximation
Provably Efficient Reinforcement Learning with Linear Function Approximation
Chi Jin
Zhuoran Yang
Zhaoran Wang
Michael I. Jordan
109
560
0
11 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
113
957
0
19 Jun 2019
Generative Adversarial User Model for Reinforcement Learning Based
  Recommendation System
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen
Shuang Li
Hui Li
Shaohua Jiang
Yuan Qi
Le Song
64
209
0
27 Dec 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
100
260
0
09 Sep 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for
  Reinforcement Learning
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi
Yang Yu
Qing Da
Shi-Yong Chen
Anxiang Zeng
OffRL
84
187
0
25 May 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
195
5,218
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,420
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELMLM&RoBDL
150
1,144
0
02 Jan 2018
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
214
1,225
0
26 Jun 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
165
3,125
0
10 Jun 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
256
3,238
0
02 Nov 2010
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