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1906.08113
Cited By
Wasserstein Adversarial Imitation Learning
19 June 2019
Huang Xiao
Michael Herman
Joerg Wagner
Sebastian Ziesche
Jalal Etesami
T. H. Linh
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Papers citing
"Wasserstein Adversarial Imitation Learning"
50 / 55 papers shown
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
Yilin Wang
Shangzhe Li
Haoyi Niu
Zhiao Huang
Weitong Zhang
H. Su
OffRL
144
2
0
02 Oct 2025
On Discovering Algorithms for Adversarial Imitation Learning
Shashank Reddy Chirra
Jayden Teoh
P. Paruchuri
Pradeep Varakantham
130
0
0
01 Oct 2025
Noise-Guided Transport for Imitation Learning
Lionel Blondé
Joao A. Candido Ramos
Alexandros Kalousis
OT
250
0
0
30 Sep 2025
Is Optimal Transport Necessary for Inverse Reinforcement Learning?
Zixuan Dong
Yumi Omori
Keith Ross
147
0
0
07 Jun 2025
Constrained Sliced Wasserstein Embedding
Navid Naderializadeh
Darian Salehi
Hengrong Du
Soheil Kolouri
278
6
0
02 Jun 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
Tan Shu
Li Shen
346
20
0
04 Apr 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
International Conference on Learning Representations (ICLR), 2025
Ran Tian
Kratarth Goel
298
5
0
25 Mar 2025
Imitation Learning from a Single Temporally Misaligned Video
William Huey
Huaxiaoyue Wang
Anne Wu
Yoav Artzi
Sanjiban Choudhury
AI4TS
509
3
0
08 Feb 2025
Diffusion Imitation from Observation
Neural Information Processing Systems (NeurIPS), 2024
Bo-Ruei Huang
Chun-Kai Yang
Chun-Mao Lai
Dai-Jie Wu
Shao-Hua Sun
313
10
0
07 Oct 2024
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
IEEE Robotics and Automation Letters (RA-L), 2024
Michael Drolet
Simon Stepputtis
Siva Kailas
Ajinkya Jain
Jan Peters
S. Schaal
H. B. Amor
354
22
0
13 Aug 2024
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance
Conference on Robot Learning (CoRL), 2024
Jingxian Lu
Wenke Xia
Dong Wang
Zhigang Wang
Bin Zhao
Di Hu
Xuelong Li
273
6
0
06 Aug 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo
Tim Pearce
Huayu Chen
Jianfei Chen
Jun Zhu
398
10
0
26 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
291
3
0
21 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang
Li-Cheng Lan
Wei-Fang Sun
Chien Feng
Cho-Jui Hsieh
Chun-Yi Lee
431
0
0
01 Feb 2024
Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning
Xizhou Bu
Wenjuan Li
Zhengxiong Liu
Zhiqiang Ma
Panfeng Huang
274
3
0
18 Dec 2023
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
International Conference on Machine Learning (ICML), 2023
Kai Yan
Alex Schwing
Yu-Xiong Wang
OffRL
390
3
0
02 Nov 2023
Unsupervised Behavior Extraction via Random Intent Priors
Neural Information Processing Systems (NeurIPS), 2023
Haotian Hu
Yiqin Yang
Jianing Ye
Ziqing Mai
Chongjie Zhang
OffRL
308
15
0
28 Oct 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
International Conference on Machine Learning (ICML), 2023
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
256
30
0
28 Oct 2023
What Matters to You? Towards Visual Representation Alignment for Robot Learning
International Conference on Learning Representations (ICLR), 2023
Ran Tian
Chenfeng Xu
Masayoshi Tomizuka
Jitendra Malik
Andrea V. Bajcsy
367
17
0
11 Oct 2023
Imitation Learning from Observation through Optimal Transport
Wei-Di Chang
Scott Fujimoto
David Meger
Gregory Dudek
228
4
0
02 Oct 2023
See to Touch: Learning Tactile Dexterity through Visual Incentives
IEEE International Conference on Robotics and Automation (ICRA), 2023
Irmak Güzey
Yinlong Dai
Ben Evans
Soumith Chintala
Lerrel Pinto
299
51
0
21 Sep 2023
On Combining Expert Demonstrations in Imitation Learning via Optimal Transport
Ilana Sebag
Samuel N. Cohen
M. Deisenroth
MoMe
OT
223
0
0
20 Jul 2023
Policy Contrastive Imitation Learning
International Conference on Machine Learning (ICML), 2023
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
273
3
0
06 Jul 2023
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Jun Song
Niao He
Lijun Ding
Chaoyue Zhao
267
6
0
25 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Andreas Schlaginhaufen
Maryam Kamgarpour
327
18
0
01 Jun 2023
Energy-guided Entropic Neural Optimal Transport
International Conference on Learning Representations (ICLR), 2023
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
OT
662
30
0
12 Apr 2023
Optimal Transport for Offline Imitation Learning
International Conference on Learning Representations (ICLR), 2023
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
364
45
0
24 Mar 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar
Jyothish Pari
A. Rai
Lerrel Pinto
282
96
0
02 Mar 2023
Behavior Proximal Policy Optimization
International Conference on Learning Representations (ICLR), 2023
Zifeng Zhuang
Kun Lei
Jinxin Liu
Xuetao Zhang
Yilang Guo
OffRL
352
50
0
22 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yunke Wang
Bo Du
Chang Xu
217
11
0
13 Feb 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation
International Conference on Learning Representations (ICLR), 2023
Daesol Cho
Seungjae Lee
H. J. Kim
462
17
0
27 Jan 2023
Proximal Point Imitation Learning
Neural Information Processing Systems (NeurIPS), 2022
Luca Viano
Angeliki Kamoutsi
Gergely Neu
Igor Krawczuk
Volkan Cevher
593
22
0
22 Sep 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Conference on Robot Learning (CoRL), 2022
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
358
88
0
30 Jun 2022
Fail-Safe Adversarial Generative Imitation Learning
Philipp Geiger
C. Straehle
GAN
237
2
0
03 Mar 2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
IEEE International Conference on Robotics and Automation (ICRA), 2022
Zhangjie Cao
Zihan Wang
Dorsa Sadigh
AAML
316
10
0
07 Feb 2022
Wasserstein Distance Maximizing Intrinsic Control
Ishan Durugkar
Steven Hansen
Stephen Spencer
Volodymyr Mnih
169
6
0
28 Oct 2021
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
Akshay Dharmavaram
Tejus Gupta
Jiachen Li
Katia Sycara
156
0
0
18 Oct 2021
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving
International Conference on Control, Automation and Systems (ICCAS), 2021
Gunmin Lee
Wooseok Oh
Seungyoung Shin
Dohyeong Kim
Jeongwoo Oh
Jaeyeon Jeong
Sungjoon Choi
Songhwai Oh
SSL
258
2
0
23 Sep 2021
On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning
F. Memarian
Abolfazl Hashemi
S. Niekum
Ufuk Topcu
AAML
359
2
0
30 Jun 2021
Reward is enough for convex MDPs
Neural Information Processing Systems (NeurIPS), 2021
Tom Zahavy
Brendan O'Donoghue
Guillaume Desjardins
Satinder Singh
436
87
0
01 Jun 2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Ishan Durugkar
Mauricio Tec
S. Niekum
Peter Stone
OOD
565
54
0
27 May 2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Dorsa Sadigh
275
38
0
10 Mar 2021
Off-Policy Imitation Learning from Observations
Neural Information Processing Systems (NeurIPS), 2021
Zhuangdi Zhu
Kaixiang Lin
Bo Dai
Jiayu Zhou
OffRL
339
96
0
25 Feb 2021
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
A. Givchi
Pei Wang
Junqi Wang
Patrick Shafto
OT
OffRL
227
0
0
15 Feb 2021
Online Apprenticeship Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Lior Shani
Tom Zahavy
Shie Mannor
OffRL
353
32
0
13 Feb 2021
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation
IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Mingqi Yuan
Man-On Pun
469
0
0
04 Feb 2021
Inverse Reinforcement Learning via Matching of Optimality Profiles
Luis Haug
Ivan Ovinnikon
Eugene Bykovets
198
1
0
18 Nov 2020
Robust Imitation Learning from Noisy Demonstrations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Voot Tangkaratt
Nontawat Charoenphakdee
Masashi Sugiyama
NoLa
345
36
0
20 Oct 2020
Imitation Learning with Sinkhorn Distances
Georgios Papagiannis
Yunpeng Li
OT
300
34
0
20 Aug 2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
Oleg Arenz
Gerhard Neumann
GAN
172
19
0
08 Aug 2020
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