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2006.13258
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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
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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
International 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
International 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
Neural 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
International Conference on Learning Representations (ICLR), 2023
Chris Cundy
Stefano Ermon
266
15
0
08 Jun 2023
Sample-efficient Adversarial Imitation Learning
Journal 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 Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
379
50
0
04 Oct 2022
Proximal Point Imitation Learning
Neural 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
IEEE Robotics and Automation Letters (RA-L), 2022
E. Uchibe
215
5
0
21 Jun 2022
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
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
International 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
Jonathan Spencer
Sanjiban Choudhury
Arun Venkatraman
Brian Ziebart
J. Andrew Bagnell
CML
262
92
0
04 Feb 2021
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