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Imitation Learning from Imperfect Demonstration
27 January 2019
Yueh-hua Wu
Nontawat Charoenphakdee
Han Bao
Voot Tangkaratt
Masashi Sugiyama
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Papers citing
"Imitation Learning from Imperfect Demonstration"
50 / 104 papers shown
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Caroline Wang
Garrett A. Warnell
Peter Stone
215
4
0
26 Oct 2022
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
Chengqian Gao
Kelvin Xu
Liu Liu
Deheng Ye
P. Zhao
Zhiqiang Xu
OffRL
162
2
0
19 Oct 2022
You Only Live Once: Single-Life Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Annie S. Chen
Archit Sharma
Sergey Levine
Chelsea Finn
OffRL
190
29
0
17 Oct 2022
Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
So Yeon Min
Hao Zhu
Ruslan Salakhutdinov
Yonatan Bisk
LM&Ro
311
14
0
10 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner
Ramin Hasani
Alexander Amini
Tsun-Hsuan Wang
T. Henzinger
Daniela Rus
CML
OOD
220
7
0
09 Oct 2022
Extraneousness-Aware Imitation Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Rachel Zheng
Kaizhe Hu
Zhecheng Yuan
Boyuan Chen
Huazhe Xu
SSL
285
4
0
04 Oct 2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation
Yoshihisa Tsurumine
Takamitsu Matsubara
106
21
0
21 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
539
0
0
09 Sep 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
International Conference on Machine Learning (ICML), 2022
Haoran Xu
Xianyuan Zhan
Honglei Yin
Huiling Qin
OffRL
272
98
0
20 Jul 2022
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
220
1
0
22 Jun 2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Guiliang Liu
Yudong Luo
A. Gaurav
K. Rezaee
Pascal Poupart
341
26
0
20 Jun 2022
Robust Imitation Learning against Variations in Environment Dynamics
International Conference on Machine Learning (ICML), 2022
Jongseong Chae
Seungyul Han
Whiyoung Jung
Myungsik Cho
Sungho Choi
Young-Jin Sung
OOD
180
30
0
19 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data
Jeongwon Park
Lin F. Yang
OffRL
163
1
0
11 Jun 2022
Receding Horizon Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Yiqing Xu
Wei Gao
David Hsu
195
14
0
09 Jun 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
Annual International Computer Software and Applications Conference (COMPSAC), 2022
Yu Wang
Fang Liu
144
0
0
23 May 2022
Disturbance-Injected Robust Imitation Learning with Task Achievement
IEEE International Conference on Robotics and Automation (ICRA), 2022
Hirotaka Tahara
Hikaru Sasaki
Hanbit Oh
B. Michael
Takamitsu Matsubara
189
13
0
09 May 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Computer Vision and Pattern Recognition (CVPR), 2022
Jimuyang Zhang
Ruizhao Zhu
Eshed Ohn-Bar
225
23
0
21 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Conference on Robot Learning (CoRL), 2022
Yueh-hua Wu
Jiashun Wang
Xiaolong Wang
381
79
0
05 Apr 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
International Conference on Learning Representations (ICLR), 2022
Desik Rengarajan
G. Vaidya
Akshay Sarvesh
D. Kalathil
S. Shakkottai
OffRL
240
76
0
09 Feb 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
251
9
0
07 Feb 2022
Robust Imitation Learning from Corrupted Demonstrations
Liu Liu
Ziyang Tang
Lanqing Li
Dijun Luo
183
15
0
29 Jan 2022
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Tong Mu
Georgios Theocharous
David Arbour
Emma Brunskill
127
6
0
30 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
240
39
0
07 Dec 2021
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Taisuke Kobayashi
Takahito Enomoto
147
3
0
29 Nov 2021
Batch Reinforcement Learning from Crowds
Guoxi Zhang
H. Kashima
OffRL
213
6
0
08 Nov 2021
Learning Feasibility to Imitate Demonstrators with Different Dynamics
Conference on Robot Learning (CoRL), 2021
Zhangjie Cao
Yilun Hao
Mengxi Li
Dorsa Sadigh
160
13
0
28 Oct 2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Neural Information Processing Systems (NeurIPS), 2021
Songyuan Zhang
Zhangjie Cao
Dorsa Sadigh
Yanan Sui
212
62
0
27 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets
J. E. Grigsby
Yanjun Qi
OffRL
225
5
0
10 Oct 2021
Learning Multimodal Rewards from Rankings
Conference on Robot Learning (CoRL), 2021
Vivek Myers
Erdem Biyik
Nima Anari
Dorsa Sadigh
OffRL
264
59
0
27 Sep 2021
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Kenji Sugimoto
92
5
0
02 Aug 2021
Behavior Self-Organization Supports Task Inference for Continual Robot Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Muhammad Burhan Hafez
S. Wermter
CLL
SSL
115
13
0
09 Jul 2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Wenshuo Guo
Kumar Krishna Agrawal
Aditya Grover
Vidya Muthukumar
A. Pananjady
192
9
0
28 Jun 2021
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach
Ramin Hasani
Alexander Amini
Mathias Lechner
Daniela Rus
224
56
0
15 Jun 2021
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
IEEE International Conference on Robotics and Automation (ICRA), 2021
Jie Huang
Rongshun Juan
R. Gomez
Keisuke Nakamura
Q. Sha
Bo He
Guangliang Li
195
13
0
14 Apr 2021
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE
IEEE International Conference on Robotics and Automation (ICRA), 2021
HaoChih Lin
Baopu Li
Xin Zhou
Jiankun Wang
Max Meng
98
7
0
03 Apr 2021
Ergodic imitation: Learning from what to do and what not to do
IEEE International Conference on Robotics and Automation (ICRA), 2021
A. Kalinowska
A. Prabhakar
Kathleen Fitzsimons
Todd Murphey
159
18
0
31 Mar 2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Dorsa Sadigh
207
35
0
10 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
IEEE International Conference on Robotics and Automation (ICRA), 2021
Axel Brunnbauer
Luigi Berducci
Andreas Brandstätter
Mathias Lechner
Ramin Hasani
Daniela Rus
Radu Grosu
LM&Ro
252
46
0
08 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
298
619
0
04 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
272
0
0
05 Jan 2021
Episodic Self-Imitation Learning with Hindsight
Tianhong Dai
Hengyan Liu
Anil Anthony Bharath
148
11
0
26 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
363
179
0
09 Nov 2020
Robust Imitation Learning from Noisy Demonstrations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Voot Tangkaratt
Nontawat Charoenphakdee
Masashi Sugiyama
NoLa
251
34
0
20 Oct 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Conference on Robot Learning (CoRL), 2020
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
SSL
303
128
0
17 Oct 2020
Policy Learning Using Weak Supervision
Neural Information Processing Systems (NeurIPS), 2020
Jingkang Wang
Hongyi Guo
Zhaowei Zhu
Yang Liu
OffRL
283
16
0
05 Oct 2020
Driving Through Ghosts: Behavioral Cloning with False Positives
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Andreas Buhler
Adrien Gaidon
Andrei Cramariuc
Rares Andrei Ambrus
Guy Rosman
Wolfram Burgard
172
18
0
29 Aug 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
218
21
0
20 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations
Hai-Jian Ke
Sheng-Jun Huang
73
7
0
14 Jun 2020
Similarity-based transfer learning of decision policies
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020
Elivska Zugarová
Tatiana V. Guy
OffRL
101
1
0
12 Jun 2020
Towards intervention-centric causal reasoning in learning agents
B. Lansdell
LRM
CML
103
0
0
26 May 2020
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