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Feedback in Imitation Learning: The Three Regimes of Covariate Shift
4 February 2021
Jonathan Spencer
Sanjiban Choudhury
Arun Venkatraman
Brian Ziebart
J. Andrew Bagnell
CML
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Papers citing
"Feedback in Imitation Learning: The Three Regimes of Covariate Shift"
50 / 54 papers shown
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
Huiwon Jang
Sihyun Yu
Heeseung Kwon
Hojin Jeon
Younggyo Seo
Jinwoo Shin
137
1
0
05 Oct 2025
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
Giovanni Minelli
Giulio Turrisi
Victor Barasuol
Claudio Semini
152
0
0
01 Oct 2025
Synthetic vs. Real Training Data for Visual Navigation
Lauri Suomela
Sasanka Kuruppu Arachchige
German F. Torres
Harry Edelman
Joni-Kristian Kämäräinen
108
2
0
15 Sep 2025
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos
R. Yasarla
Shizhong Han
H. Cai
Fatih Porikli
239
1
0
11 Jun 2025
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions
Pau Marquez Julbe
Julian Nubert
Henrik Hose
Sebastian Trimpe
Katherine J. Kuchenbecker
331
5
0
06 Apr 2025
Denoising-based Contractive Imitation Learning
Macheng Shen
Jishen Peng
Zefang Huang
231
0
0
20 Mar 2025
A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
Shengfan Cao
Eunhyek Joa
Francesco Borrelli
290
1
0
10 Mar 2025
RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation
Philipp Wu
Yide Shentu
Qiayuan Liao
Ding Jin
Menglong Guo
Koushil Sreenath
Xingyu Lin
Pieter Abbeel
233
16
0
10 Mar 2025
On the Effective Horizon of Inverse Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yiqing Xu
Finale Doshi-Velez
David Hsu
346
1
0
21 Feb 2025
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Daqian Shao
Thomas Kleine Buening
Marta Z. Kwiatkowska
CML
277
1
0
11 Feb 2025
Conditional Prediction by Simulation for Automated Driving
Fabian Konstantinidis
Moritz Sackmann
U. Hofmann
Christoph Stiller
254
1
0
05 Feb 2025
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
European Conference on Computer Vision (ECCV), 2024
R. Yasarla
Manish Kumar Singh
Hong Cai
Yunxiao Shi
Jisoo Jeong
Yinhao Zhu
Shizhong Han
Risheek Garrepalli
Fatih Porikli
MDE
516
12
0
17 Jan 2025
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
Risheek Garrepalli
Shweta Mahajan
Munawar Hayat
Fatih Porikli
DiffM
258
0
0
15 Oct 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao
Reid G. Simmons
H. Admoni
Aaditya Ramdas
Andrea Bajcsy
695
7
0
11 Oct 2024
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
566
0
0
07 Oct 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
A. Popov
Alperen Degirmenci
David Wehr
Shashank Hegde
Ryan Oldja
...
David Nistér
Urs Muller
Ruchi Bhargava
Stan Birchfield
Nikolai Smolyanskiy
662
21
0
25 Sep 2024
RECON: Reducing Causal Confusion with Human-Placed Markers
Robert Ramirez Sanchez
Heramb Nemlekar
Shahabedin Sagheb
Cara M. Nunez
Dylan P. Losey
CML
352
3
0
20 Sep 2024
AI-Guided Molecular Simulations in VR: Exploring Strategies for Imitation Learning in Hyperdimensional Molecular Systems
SN Computer Science (SCS), 2024
Mohamed Dhouioui
Jonathan Barnoud
Rhoslyn Roebuck Williams
Harry J. Stroud
Phil Bates
David R. Glowacki
AI4CE
233
2
0
11 Sep 2024
Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning
IEEE Robotics and Automation Letters (RA-L), 2024
Shaunak A. Mehta
Yusuf Umut Ciftci
Balamurugan Ramachandran
Somil Bansal
Dylan P. Losey
OffRL
195
12
0
12 Aug 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Neural Information Processing Systems (NeurIPS), 2024
Jingwu Tang
Gokul Swamy
Fei Fang
Zhiwei Steven Wu
267
10
0
06 Jun 2024
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels
Abhay Deshpande
Liyiming Ke
Quinn Pfeifer
Abhishek Gupta
S. Srinivasa
268
3
0
29 May 2024
Efficient Imitation Learning with Conservative World Models
Victor Kolev
Rafael Rafailov
Kyle Hatch
Jiajun Wu
Chelsea Finn
OffRL
255
10
0
21 May 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
Yang Chen
Yitao Liang
Zhouchen Lin
OOD
CML
226
0
0
29 Feb 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li
Chicheng Zhang
OffRL
307
0
0
28 Dec 2023
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng
Andrey Kolobov
Dipendra Kumar Misra
Allen Nie
Adith Swaminathan
268
25
0
11 Dec 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
309
23
0
19 Oct 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
Neural Information Processing Systems (NeurIPS), 2023
Bowei He
Zexu Sun
Jinxin Liu
Shuai Zhang
Xu Chen
Chen Ma
OffRL
284
10
0
07 Oct 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
Conference on Robot Learning (CoRL), 2023
Ran Wei
Siliang Zeng
Chenliang Li
Alfredo García
Anthony D. McDonald
Mingyi Hong
OffRL
346
7
0
15 Sep 2023
Contrastive Example-Based Control
Conference on Learning for Dynamics & Control (L4DC), 2023
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
300
4
0
24 Jul 2023
HYDRA: Hybrid Robot Actions for Imitation Learning
Conference on Robot Learning (CoRL), 2023
Suneel Belkhale
Yuchen Cui
Dorsa Sadigh
289
65
0
29 Jun 2023
Data Quality in Imitation Learning
Neural Information Processing Systems (NeurIPS), 2023
Suneel Belkhale
Yuchen Cui
Dorsa Sadigh
238
79
0
04 Jun 2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Returaj Burnwal
Anirban Santara
Nirav P. Bhatt
Balaraman Ravindran
Gaurav Aggarwal
180
1
0
30 May 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
247
17
0
26 May 2023
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
Ameesh Shah
Jonathan A. DeCastro
John Gideon
Beyazit Yalcinkaya
Guy Rosman
Sanjit A. Seshia
150
2
0
29 Mar 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lantao Yu
Tianhe Yu
Jiaming Song
Willie Neiswanger
Stefano Ermon
OffRL
240
25
0
05 Mar 2023
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Yi Xiao
Felipe Codevilla
Diego Porres
Antonio M. López
VLM
262
6
0
07 Feb 2023
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Ziniu Li
Tian Xu
Y. Yu
Zhixun Luo
OffRL
159
2
0
27 Jan 2023
Markup-to-Image Diffusion Models with Scheduled Sampling
International Conference on Learning Representations (ICLR), 2022
Yuntian Deng
Noriyuki Kojima
Alexander M. Rush
DiffM
190
6
0
11 Oct 2022
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
David Brandfonbrener
Stephen Tu
Avi Singh
Stefan Welker
Chad Boodoo
Nikolai Matni
Jacob Varley
OffRL
179
13
0
05 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar
Yiming Zhang
S. Pini
Simon Stent
Ana Ferreira
Sergey Zagoruyko
C. Perone
OffRL
160
1
0
05 Oct 2022
Sequence Model Imitation Learning with Unobserved Contexts
Neural Information Processing Systems (NeurIPS), 2022
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
339
31
0
03 Aug 2022
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
European Conference on Computer Vision (ECCV), 2022
Chia-Chi Chuang
Donglin Yang
Chuan Wen
Yang Gao
SSL
263
16
0
20 Jul 2022
Discriminator-Guided Model-Based Offline Imitation Learning
Conference on Robot Learning (CoRL), 2022
Wenjia Zhang
Haoran Xu
Haoyi Niu
Peng Cheng
Ming Li
Heming Zhang
Guyue Zhou
Xianyuan Zhan
OffRL
325
21
0
01 Jul 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
International Conference on Machine Learning (ICML), 2022
Chuan Wen
Jianing Qian
Jierui Lin
Jiaye Teng
Dinesh Jayaraman
Yang Gao
AAML
231
21
0
22 Jun 2022
Receding Horizon Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Yiqing Xu
Wei Gao
David Hsu
198
14
0
09 Jun 2022
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
Sabina J. Sloman
Daniel M. Oppenheimer
S. Broomell
C. Shalizi
227
9
0
27 May 2022
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation
A. Jain
Jack Kolb
IV J.M.Abbess
Harish Ravichandar
72
0
0
15 Apr 2022
Rethinking ValueDice: Does It Really Improve Performance?
Ziniu Li
Tian Xu
Yang Yu
Zhimin Luo
OffRL
198
17
0
05 Feb 2022
Causal Imitation Learning under Temporally Correlated Noise
International Conference on Machine Learning (ICML), 2022
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
CML
168
34
0
02 Feb 2022
Visual Adversarial Imitation Learning using Variational Models
Neural Information Processing Systems (NeurIPS), 2021
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
SSL
415
58
0
16 Jul 2021
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