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Of Moments and Matching: A Game-Theoretic Framework for Closing the
  Imitation Gap

Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap

4 March 2021
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Steven Wu
ArXivPDFHTML

Papers citing "Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap"

25 / 25 papers shown
Title
Your Learned Constraint is Secretly a Backward Reachable Tube
Your Learned Constraint is Secretly a Backward Reachable Tube
Mohamad Qadri
Gokul Swamy
Jonathan Francis
Michael Kaess
Andrea Bajcsy
31
3
0
26 Jan 2025
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Cevahir Köprülü
Po-han Li
Tianyu Qiu
Ruihan Zhao
T. Westenbroek
David Fridovich-Keil
Sandeep P. Chinchali
Ufuk Topcu
OffRL
94
0
0
02 Dec 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
57
1
0
11 Nov 2024
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
Clémence Grislain
Risto Vuorio
Cong Lu
Shimon Whiteson
36
1
0
07 Nov 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
DiffM
42
3
0
17 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Ivan Ovinnikov
Eugene Bykovets
J. M. Buhmann
CML
38
0
0
12 Sep 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning
How to Leverage Diverse Demonstrations in Offline Imitation Learning
Sheng Yue
Jiani Liu
Xingyuan Hua
Ju Ren
Sen Lin
Junshan Zhang
Yaoxue Zhang
OffRL
34
3
0
24 May 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy
Christoph Dann
Rahul Kidambi
Zhiwei Steven Wu
Alekh Agarwal
OffRL
41
96
0
08 Jan 2024
Agnostic Interactive Imitation Learning: New Theory and Practical
  Algorithms
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li
Chicheng Zhang
OffRL
33
0
0
28 Dec 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation
  Learning
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
27
12
0
19 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline
  Reinforcement Learning
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan Luo
Tian Xu
Xingchen Cao
Yang Yu
OffRL
29
7
0
09 Oct 2023
A Structured Prediction Approach for Robot Imitation Learning
A Structured Prediction Approach for Robot Imitation Learning
Anqing Duan
Iason Batzianoulis
Raffaello Camoriano
Lorenzo Rosasco
Daniele Pucci
A. Billard
21
4
0
26 Sep 2023
On Imitation in Mean-field Games
On Imitation in Mean-field Games
Giorgia Ramponi
Pavel Kolev
Olivier Pietquin
Niao He
Mathieu Laurière
M. Geist
AI4CE
30
0
0
26 Jun 2023
Identifiability and Generalizability in Constrained Inverse
  Reinforcement Learning
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
21
10
0
01 Jun 2023
Inverse Reinforcement Learning without Reinforcement Learning
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
21
34
0
26 Mar 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse
  Reinforcement Learning
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue
Guan-Bo Wang
Wei Shao
Zhaofeng Zhang
Sen Lin
Junkai Ren
Junshan Zhang
OffRL
31
20
0
09 Feb 2023
Embedding Synthetic Off-Policy Experience for Autonomous Driving via
  Zero-Shot Curricula
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein
S. Srinivasan
Supratik Paul
Aman Sinha
Matthew O'Kelly
Payam Nikdel
Shimon Whiteson
OffRL
8
18
0
02 Dec 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
45
58
0
18 Oct 2022
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
31
240
0
03 Oct 2022
Sequence Model Imitation Learning with Unobserved Contexts
Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
31
25
0
03 Aug 2022
Minimax Optimal Online Imitation Learning via Replay Estimation
Minimax Optimal Online Imitation Learning via Replay Estimation
Gokul Swamy
Nived Rajaraman
Matt Peng
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
Jiantao Jiao
Kannan Ramchandran
OffRL
29
18
0
30 May 2022
A Ranking Game for Imitation Learning
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
25
22
0
07 Feb 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Ching-An Cheng
Tengyang Xie
Nan Jiang
Alekh Agarwal
OffRL
11
125
0
05 Feb 2022
Causal Imitation Learning under Temporally Correlated Noise
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
CML
24
29
0
02 Feb 2022
A Pragmatic Look at Deep Imitation Learning
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran
D. Lillrank
29
9
0
04 Aug 2021
1