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Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
v1v2 (latest)

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

9 September 2018
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
ArXiv (abs)PDFHTML

Papers citing "Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning"

50 / 187 papers shown
Title
Multi-Level Compositional Reasoning for Interactive Instruction
  Following
Multi-Level Compositional Reasoning for Interactive Instruction Following
Suvaansh Bhambri
Byeonghwi Kim
Jonghyun Choi
LM&Ro
121
11
0
18 Aug 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance
Regularizing Adversarial Imitation Learning Using Causal Invariance
Ivan Ovinnikov
J. M. Buhmann
CML
80
0
0
17 Aug 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
Shenghua Wan
Yucen Wang
Minghao Shao
Ruying Chen
De-Chuan Zhan
91
8
0
19 Jun 2023
Mimicking Better by Matching the Approximate Action Distribution
Mimicking Better by Matching the Approximate Action Distribution
Joao A. Candido Ramos
Lionel Blondé
Naoya Takeishi
Alexandros Kalousis
71
2
0
16 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Mingli Song
104
2
0
14 Jun 2023
Provably Efficient Adversarial Imitation Learning with Unknown
  Transitions
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
66
10
0
11 Jun 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
101
12
0
25 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving
  Reward Functions
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions
Xi Yang
Ge Gao
Min Chi
OffRL
92
2
0
15 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning
Get Back Here: Robust Imitation by Return-to-Distribution Planning
Geoffrey Cideron
B. Tabanpour
Sebastian Curi
Sertan Girgin
Léonard Hussenot
Gabriel Dulac-Arnold
Matthieu Geist
Olivier Pietquin
Robert Dadashi
OOD
155
2
0
02 May 2023
A Coupled Flow Approach to Imitation Learning
A Coupled Flow Approach to Imitation Learning
G. Freund
Elad Sarafian
Sarit Kraus
OOD
83
13
0
29 Apr 2023
Learning Representative Trajectories of Dynamical Systems via
  Domain-Adaptive Imitation
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation
Edgardo Solano-Carrillo
Jannis Stoppe
61
0
0
19 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
Utsav Singh
Vinay P. Namboodiri
98
3
0
07 Apr 2023
Optimal Transport for Offline Imitation Learning
Optimal Transport for Offline Imitation Learning
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
106
28
0
24 Mar 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A
  Survey
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu
H. Su
OffRL
88
1
0
23 Mar 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed
  Distribution Matching
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
Lantao Yu
Tianhe Yu
Jiaming Song
Willie Neiswanger
Stefano Ermon
OffRL
103
18
0
05 Mar 2023
Learning Stabilization Control from Observations by Learning
  Lyapunov-like Proxy Models
Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models
Milan Ganai
Chiaki Hirayama
Ya-Chien Chang
Sicun Gao
84
7
0
03 Mar 2023
How To Guide Your Learner: Imitation Learning with Active Adaptive
  Expert Involvement
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement
Xu-Hui Liu
Feng Xu
Xinyu Zhang
Tianyuan Liu
Shengyi Jiang
Rui Chen
Zongzhang Zhang
Yang Yu
123
12
0
03 Mar 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of
  Demonstrations
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar
Jyothish Pari
A. Rai
Lerrel Pinto
110
74
0
02 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
137
18
0
02 Mar 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Firas Al-Hafez
Davide Tateo
Oleg Arenz
Guoping Zhao
Jan Peters
71
24
0
01 Mar 2023
Diffusion Model-Augmented Behavioral Cloning
Diffusion Model-Augmented Behavioral Cloning
Shangcheng Chen
Hsiang-Chun Wang
Ming-Hao Hsu
Chun-Mao Lai
Shao-Hua Sun
DiffM
158
31
0
26 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration
  for Task Automation of Surgical Robot
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang
Kai-xiang Chen
Bin Li
Yunhui Liu
Qingxu Dou
80
23
0
20 Feb 2023
Dual RL: Unification and New Methods for Reinforcement and Imitation
  Learning
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit S. Sikchi
Qinqing Zheng
Amy Zhang
S. Niekum
OffRL
103
29
0
16 Feb 2023
Visual Imitation Learning with Patch Rewards
Visual Imitation Learning with Patch Rewards
Minghuan Liu
Tairan He
Weinan Zhang
Shuicheng Yan
Zhongwen Xu
SSL
109
14
0
02 Feb 2023
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Ziniu Li
Tian Xu
Y. Yu
Zhixun Luo
OffRL
64
2
0
27 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative
  Reward Co-Training
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
Philipp Altmann
Thomy Phan
Fabian Ritz
Thomas Gabor
Claudia Linnhoff-Popien
OffRL
70
1
0
18 Jan 2023
Learning from Guided Play: Improving Exploration for Adversarial
  Imitation Learning with Simple Auxiliary Tasks
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks
Trevor Ablett
Bryan Chan
Jonathan Kelly
150
10
0
30 Dec 2022
Accelerating Self-Imitation Learning from Demonstrations via Policy
  Constraints and Q-Ensemble
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
Chong Li
OffRL
77
1
0
07 Dec 2022
imitation: Clean Imitation Learning Implementations
imitation: Clean Imitation Learning Implementations
Adam Gleave
Mohammad Taufeeque
Juan Rocamonde
Erik Jenner
Steven H. Wang
Sam Toyer
M. Ernestus
Nora Belrose
Scott Emmons
Stuart J. Russell
MLAU
138
32
0
22 Nov 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala
Gabriel Dulac-Arnold
Julien Mairal
Jean Ponce
Cordelia Schmid
OffRL
88
27
0
16 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single
  Demonstration
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
Alexandre Chenu
Olivier Serris
Olivier Sigaud
Nicolas Perrin-Gilbert
77
5
0
09 Nov 2022
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation
  Learning
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning
Eddy Hudson
Ishan Durugkar
Garrett A. Warnell
Peter Stone
OffRL
29
1
0
08 Nov 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Dong-Sig Han
Hyunseok Kim
Hyun-Dong Lee
Je-hwan Ryu
Byoung-Tak Zhang
82
3
0
20 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
Task Phasing: Automated Curriculum Learning from Demonstrations
Vaibhav Bajaj
Guni Sharon
Peter Stone
87
8
0
20 Oct 2022
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
93
21
0
18 Oct 2022
You Only Live Once: Single-Life Reinforcement Learning
You Only Live Once: Single-Life Reinforcement Learning
Annie S. Chen
Archit Sharma
Sergey Levine
Chelsea Finn
OffRL
67
20
0
17 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
126
43
0
04 Oct 2022
Learn what matters: cross-domain imitation learning with task-relevant
  embeddings
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer
Philip Torr
João F. Henriques
OOD
96
22
0
24 Sep 2022
Proximal Point Imitation Learning
Proximal Point Imitation Learning
Luca Viano
Angeliki Kamoutsi
Gergely Neu
Igor Krawczuk
Volkan Cevher
123
16
0
22 Sep 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without
  Explicit Goal Specification
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
Min-Yu Wu
Fangwei Zhong
Yulong Xia
Hao Dong
OOD
117
18
0
02 Sep 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using
  Past Experience
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
Marwa Abdulhai
Natasha Jaques
Sergey Levine
OffRL
65
6
0
09 Aug 2022
Exploring the trade off between human driving imitation and safety for
  traffic simulation
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle
S. Sabatini
D. Tsishkou
C. Sabourin
58
4
0
09 Aug 2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A
  Stage-coupled Analysis
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
67
8
0
03 Aug 2022
Target-absent Human Attention
Target-absent Human Attention
Zhibo Yang
Sounak Mondal
Seoyoung Ahn
G. Zelinsky
Minh Hoai
Dimitris Samaras
56
19
0
04 Jul 2022
Discriminator-Guided Model-Based Offline Imitation Learning
Discriminator-Guided Model-Based Offline Imitation Learning
Wenjia Zhang
Haoran Xu
Haoyi Niu
Peng Cheng
Ming Li
Heming Zhang
Guyue Zhou
Xianyuan Zhan
OffRL
126
19
0
01 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
122
67
0
30 Jun 2022
Latent Policies for Adversarial Imitation Learning
Latent Policies for Adversarial Imitation Learning
Tianyu Wang
Nikhil Karnwal
Nikolay Atanasov
54
5
0
22 Jun 2022
Auto-Encoding Adversarial Imitation Learning
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
102
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
62
4
0
21 Jun 2022
Robust Imitation Learning against Variations in Environment Dynamics
Robust Imitation Learning against Variations in Environment Dynamics
Jongseong Chae
Seungyul Han
Whiyoung Jung
Myungsik Cho
Sungho Choi
Young-Jin Sung
OOD
72
21
0
19 Jun 2022
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