Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.11879
Cited By
State-only Imitation with Transition Dynamics Mismatch
International Conference on Learning Representations (ICLR), 2020
27 February 2020
Tanmay Gangwani
Jian Peng
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"State-only Imitation with Transition Dynamics Mismatch"
38 / 38 papers shown
Learning from Observation: A Survey of Recent Advances
Returaj Burnwal
Hriday Mehta
Nirav P. Bhatt
Balaraman Ravindran
161
0
0
20 Sep 2025
Action-Constrained Imitation Learning
Chia-Han Yeh
Tse-Sheng Nan
Risto Vuorio
Wei-Ting Hung
Hung-Yen Wu
Shao-Hua Sun
Ping-Chun Hsieh
206
3
0
20 Aug 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue
Lang Feng
Jiacheng Xu
Kang Kang
Xiang Wen
Jingyi Wang
Shuicheng Yan
OffRL
321
0
0
10 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
Volkan Cevher
765
3
0
27 Feb 2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
Yirui Zhou
Xiaowei Liu
Xiaowei Liu
Xiaofeng Zhang
Yangchun Zhang
450
0
0
22 Jan 2025
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
Neural Information Processing Systems (NeurIPS), 2024
Yihong Guo
Yixuan Wang
Yuanyuan Shi
Pan Xu
Anqi Liu
300
13
0
15 Nov 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
International Conference on Learning Representations (ICLR), 2024
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
418
7
0
11 Nov 2024
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
Haoyi Niu
Qimao Chen
Tenglong Liu
Jianxiong Li
Guyue Zhou
Yi Zhang
Jianming Hu
Xianyuan Zhan
392
1
0
13 Sep 2024
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
Yangchun Zhang
Qiang Liu
Weiming Li
Yirui Zhou
382
0
0
21 Mar 2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
Haoyi Niu
Jianming Hu
Guyue Zhou
Xianyuan Zhan
224
24
0
07 Feb 2024
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations
Guojian Wang
Faguo Wu
Xiao Zhang
Tianyuan Chen
Zhiming Zheng
490
0
0
30 Dec 2023
Domain Adaptive Imitation Learning with Visual Observation
Neural Information Processing Systems (NeurIPS), 2023
Sungho Choi
Seungyul Han
Woojun Kim
Jongseong Chae
Whiyoung Jung
Young-Jin Sung
OOD
393
13
0
01 Dec 2023
CEIL: Generalized Contextual Imitation Learning
Neural Information Processing Systems (NeurIPS), 2023
Jinxin Liu
Li He
Yachen Kang
Zifeng Zhuang
Xuetao Zhang
Huazhe Xu
357
23
0
26 Jun 2023
LAGOON: Language-Guided Motion Control
IEEE International Conference on Robotics and Automation (ICRA), 2023
Shusheng Xu
Huaijie Wang
Jiaxuan Gao
Yutao Ouyang
Chao Yu
Yi Wu
LM&Ro
329
2
0
18 Jun 2023
State Regularized Policy Optimization on Data with Dynamics Shift
Neural Information Processing Systems (NeurIPS), 2023
Zhenghai Xue
Qingpeng Cai
Shuchang Liu
Dong Zheng
Peng Jiang
Kun Gai
Bo An
OffRL
510
28
0
06 Jun 2023
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Conference on Robot Learning (CoRL), 2022
Yanjiang Guo
Jingyue Gao
Zheng Wu
Chengming Shi
Jianyu Chen
OffRL
329
7
0
03 Dec 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Conference on Robot Learning (CoRL), 2022
Yiwen Qiu
Jialong Wu
Zhangjie Cao
Mingsheng Long
206
7
0
13 Nov 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
422
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
392
16
0
04 Oct 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Neural Information Processing Systems (NeurIPS), 2022
Tim Franzmeyer
Juil Sock
João F. Henriques
OOD
266
28
0
24 Sep 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Paul Rolland
Luca Viano
Norman Schuerhoff
Boris Nikolov
Volkan Cevher
OffRL
362
19
0
22 Sep 2022
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
284
2
0
22 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
242
33
0
19 Jun 2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
Fan Luo
Xingchen Cao
Rong-Jun Qin
Yang Yu
372
4
0
01 Jun 2022
Imitation Learning from Observations under Transition Model Disparity
International Conference on Learning Representations (ICLR), 2022
Tanmay Gangwani
Yuanfei Zhou
Jian-wei Peng
199
15
0
25 Apr 2022
Robust Learning from Observation with Model Misspecification
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Luca Viano
Yu-ting Huang
Parameswaran Kamalaruban
Craig Innes
S. Ramamoorthy
Adrian Weller
OOD
271
12
0
12 Feb 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
International Conference on Machine Learning (ICML), 2022
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
352
49
0
04 Feb 2022
Learning Feasibility to Imitate Demonstrators with Different Dynamics
Conference on Robot Learning (CoRL), 2021
Zhangjie Cao
Yilun Hao
Mengxi Li
Dorsa Sadigh
175
14
0
28 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Jinxin Liu
Hao Shen
Xuetao Zhang
Yachen Kang
Qiangxing Tian
383
20
0
25 Oct 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Yachen Kang
Jinxin Liu
Xin Cao
Xuetao Zhang
187
3
0
21 Oct 2021
Cross-domain Imitation from Observations
International Conference on Machine Learning (ICML), 2021
Dripta S. Raychaudhuri
S. Paul
J. Baar
Amit K. Roy-Chowdhury
OOD
288
54
0
20 May 2021
Off-Policy Imitation Learning from Observations
Neural Information Processing Systems (NeurIPS), 2021
Zhuangdi Zhu
Kaixiang Lin
Bo Dai
Jiayu Zhou
OffRL
359
96
0
25 Feb 2021
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhihao Cheng
Liu Liu
Aishan Liu
Hao Sun
Meng Fang
Dacheng Tao
212
11
0
16 Oct 2020
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddarth Desai
Ishan Durugkar
Haresh Karnan
Garrett A. Warnell
Josiah P. Hanna
Peter Stone
308
5
0
04 Aug 2020
Bridging the Imitation Gap by Adaptive Insubordination
Neural Information Processing Systems (NeurIPS), 2020
Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
492
41
0
23 Jul 2020
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Luca Viano
Yu-ting Huang
Parameswaran Kamalaruban
Adrian Weller
Volkan Cevher
374
36
0
02 Jul 2020
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang
Arjun Gupta
Saurabh Gupta
407
107
0
17 Jun 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Neural Information Processing Systems (NeurIPS), 2019
Saurabh Daptardar
Paul Schrater
Xaq Pitkow
304
42
0
13 Aug 2019
1
Page 1 of 1
