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Adversarial Soft Advantage Fitting: Imitation Learning without Policy
  Optimization
v1v2v3v4v5v6 (latest)

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Neural Information Processing Systems (NeurIPS), 2020
23 June 2020
Paul Barde
Julien Roy
Wonseok Jeon
Joelle Pineau
C. Pal
Derek Nowrouzezahrai
ArXiv (abs)PDFHTML

Papers citing "Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization"

12 / 12 papers shown
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Diffusing States and Matching Scores: A New Framework for Imitation LearningInternational Conference on Learning Representations (ICLR), 2024
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
DiffM
450
10
0
17 Oct 2024
Inverse Decision Modeling: Learning Interpretable Representations of
  Behavior
Inverse Decision Modeling: Learning Interpretable Representations of BehaviorInternational Conference on Machine Learning (ICML), 2023
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
210
29
0
28 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimizationNeural Networks (NN), 2022
Pablo V. A. Barros
A. Sciutti
SSL
201
6
0
02 Oct 2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling
  with Backtracking
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with BacktrackingInternational Conference on Learning Representations (ICLR), 2023
Chris Cundy
Stefano Ermon
266
15
0
08 Jun 2023
Sample-efficient Adversarial Imitation Learning
Sample-efficient Adversarial Imitation LearningJournal of machine learning research (JMLR), 2023
Dahuin Jung
Hyungyu Lee
Sung-Hoon Yoon
SSL
340
3
0
14 Mar 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time GuaranteesNeural Information Processing Systems (NeurIPS), 2022
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
379
50
0
04 Oct 2022
Proximal Point Imitation Learning
Proximal Point Imitation LearningNeural Information Processing Systems (NeurIPS), 2022
Luca Viano
Angeliki Kamoutsi
Gergely Neu
Igor Krawczuk
Volkan Cevher
465
20
0
22 Sep 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and
  Policy
Model-Based Imitation Learning Using Entropy Regularization of Model and PolicyIEEE Robotics and Automation Letters (RA-L), 2022
E. Uchibe
215
5
0
21 Jun 2022
Self-Imitation Learning from Demonstrations
Self-Imitation Learning from Demonstrations
Georgiy Pshikhachev
Dmitry Ivanov
Vladimir Egorov
A. Shpilman
203
8
0
21 Mar 2022
IQ-Learn: Inverse soft-Q Learning for Imitation
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg
Shuvam Chakraborty
Chris Cundy
Jiaming Song
Matthieu Geist
Stefano Ermon
362
227
0
23 Jun 2021
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 GapInternational Conference on Machine Learning (ICML), 2021
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Steven Wu
233
85
0
04 Mar 2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Jonathan Spencer
Sanjiban Choudhury
Arun Venkatraman
Brian Ziebart
J. Andrew Bagnell
CML
262
92
0
04 Feb 2021
1
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