Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.04709
Cited By
v1
v2 (latest)
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
9 November 2020
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"f-IRL: Inverse Reinforcement Learning via State Marginal Matching"
50 / 61 papers shown
Distributional Inverse Reinforcement Learning
Feiyang Wu
Ye Zhao
Anqi Wu
OffRL
291
1
0
03 Oct 2025
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen
Menglin Zou
Jiaqi Zhang
Y. Zhang
Junyi Yang
Gaël Gendron
Libo Zhang
Jiamou Liu
Michael Witbrock
313
0
0
27 Sep 2025
Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
Filippo Lazzati
Alberto Maria Metelli
154
0
0
15 Sep 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Ruijia Zhang
Siliang Zeng
Chenliang Li
Alfredo García
Mingyi Hong
368
1
0
22 Mar 2025
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
Arthur Zhang
Harshit S. Sikchi
Amy Zhang
Joydeep Biswas
426
12
0
05 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
Volkan Cevher
770
3
0
27 Feb 2025
On the Effective Horizon of Inverse Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yiqing Xu
Finale Doshi-Velez
David Hsu
404
1
0
21 Feb 2025
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang
Wang Zhou
Yirui Zhou
291
0
0
31 Dec 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
Neural Information Processing Systems (NeurIPS), 2024
Weichao Zhou
Wenchao Li
271
2
0
31 Oct 2024
Learning Transparent Reward Models via Unsupervised Feature Selection
Conference on Robot Learning (CoRL), 2024
Daulet Baimukashev
G. Alcan
K. Luck
Ville Kyrki
SSL
OffRL
290
0
0
24 Oct 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning
International Conference on Learning Representations (ICLR), 2024
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
DiffM
488
11
0
17 Oct 2024
Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos
Harsh Mahesheka
Zhixian Xie
Liang Luo
Wanxin Jin
301
2
0
11 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Ivan Ovinnikov
Eugene Bykovets
J. M. Buhmann
CML
349
2
0
12 Sep 2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets
Harshit S. Sikchi
Caleb Chuck
Amy Zhang
S. Niekum
OffRL
308
9
0
13 Jun 2024
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
Caleb Chuck
Carl Qi
M. Munje
Shuozhe Li
Max Rudolph
...
Kavan Mehta
Anthony Wang
Peter Stone
Amy Zhang
S. Niekum
329
6
0
06 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions
International Conference on Machine Learning (ICML), 2024
Luca Viano
Stratis Skoulakis
Volkan Cevher
358
9
0
03 May 2024
Automated Feature Selection for Inverse Reinforcement Learning
Daulet Baimukashev
G. Alcan
Ville Kyrki
307
3
0
22 Mar 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
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
Feiyang Wu
Xavier Nal
Jaehwi Jang
Wei Zhu
Zhaoyuan Gu
Anqi Wu
Ye Zhao
471
0
0
09 Feb 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
International Conference on Machine Learning (ICML), 2024
Yufei Wang
Zhanyi Sun
Jesse Zhang
Zhou Xian
Erdem Biyik
David Held
Zackory M. Erickson
VLM
502
134
0
06 Feb 2024
The Virtues of Pessimism in Inverse Reinforcement Learning
David Wu
Gokul Swamy
J. Andrew Bagnell
Zhiwei Steven Wu
Sanjiban Choudhury
369
0
0
04 Feb 2024
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping
David Wu
Sanjiban Choudhury
166
0
0
04 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
445
0
0
01 Feb 2024
A Novel Variational Lower Bound for Inverse Reinforcement Learning
Yikang Gui
Prashant Doshi
336
0
0
07 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Harshit S. Sikchi
Rohan Chitnis
Ahmed Touati
A. Geramifard
Amy Zhang
S. Niekum
OffRL
530
14
0
03 Nov 2023
Time-series Generation by Contrastive Imitation
Neural Information Processing Systems (NeurIPS), 2023
Daniel Jarrett
Ioana Bica
M. Schaar
AI4TS
379
29
0
02 Nov 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
International Conference on Machine Learning (ICML), 2023
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
266
30
0
28 Oct 2023
Learning Reward for Physical Skills using Large Language Model
Yuwei Zeng
Yiqing Xu
259
7
0
21 Oct 2023
f
f
f
-Policy Gradients: A General Framework for Goal Conditioned RL using
f
f
f
-Divergences
Neural Information Processing Systems (NeurIPS), 2023
Siddhant Agarwal
Ishan Durugkar
Peter Stone
Amy Zhang
301
12
0
10 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Fan Luo
Tian Xu
Xingchen Cao
Yang Yu
OffRL
302
15
0
09 Oct 2023
Learning to Reach Goals via Diffusion
International Conference on Machine Learning (ICML), 2023
V. Jain
Siamak Ravanbakhsh
DiffM
OffRL
259
11
0
04 Oct 2023
Imitation Learning from Observation through Optimal Transport
Wei-Di Chang
Scott Fujimoto
David Meger
Gregory Dudek
232
4
0
02 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Chao Liu
Zhaoyuan Gu
Hanran Wu
Deniz Irem Erus
Ye Zhao
281
11
0
28 Sep 2023
A Review on Robot Manipulation Methods in Human-Robot Interactions
Haoxu Zhang
P. Kebria
Shady M. K. Mohamed
Samson Yu
Saeid Nahavandi
226
1
0
09 Sep 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance
Ivan Ovinnikov
J. M. Buhmann
CML
249
0
0
17 Aug 2023
CEIL: Generalized Contextual Imitation Learning
Neural Information Processing Systems (NeurIPS), 2023
Jinxin Liu
Li He
Yachen Kang
Zifeng Zhuang
Xuetao Zhang
Huazhe Xu
363
23
0
26 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
514
28
0
06 Jun 2023
Coherent Soft Imitation Learning
Neural Information Processing Systems (NeurIPS), 2023
Joe Watson
Sandy H. Huang
Nicholas Heess
327
20
0
25 May 2023
Inverse Reinforcement Learning with the Average Reward Criterion
Neural Information Processing Systems (NeurIPS), 2023
Feiyang Wu
Jingyang Ke
Anqi Wu
423
14
0
24 May 2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
International Conference on Learning Representations (ICLR), 2023
Andrew Szot
Amy Zhang
Dhruv Batra
Z. Kira
Franziska Meier
OOD
OffRL
391
11
0
28 Mar 2023
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
International Conference on Learning Representations (ICLR), 2023
Harshit S. Sikchi
Qinqing Zheng
Amy Zhang
S. Niekum
OffRL
418
46
0
16 Feb 2023
On The Fragility of Learned Reward Functions
Lev McKinney
Yawen Duan
David M. Krueger
Adam Gleave
237
23
0
09 Jan 2023
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Chong Li
OffRL
224
1
0
07 Dec 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Dong-Sig Han
Hyunseok Kim
Hyun-Dong Lee
Je-hwan Ryu
Byoung-Tak Zhang
393
5
0
20 Oct 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
402
16
0
04 Oct 2022
Reward Learning using Structural Motifs in Inverse Reinforcement Learning
Raeid Saqur
323
2
0
25 Sep 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Conference on Robot Learning (CoRL), 2022
Letian Chen
Sravan Jayanthi
Rohan R. Paleja
Daniel Martin
Viacheslav Zakharov
Matthew C. Gombolay
681
19
0
24 Sep 2022
Co-Imitation: Learning Design and Behaviour by Imitation
AAAI Conference on Artificial Intelligence (AAAI), 2022
C. Rajani
Karol Arndt
David Blanco Mulero
K. Luck
Ville Kyrki
180
8
0
02 Sep 2022
Receding Horizon Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Yiqing Xu
Wei Gao
David Hsu
290
14
0
09 Jun 2022
1
2
Next
Page 1 of 2
