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Auto-Encoding Adversarial Imitation Learning

22 June 2022

Papers citing "Auto-Encoding Adversarial Imitation Learning"

29 / 29 papers shown

Title
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 93 66 0 30 Jun 2022
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 86 188 0 23 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 97 77 0 01 Jun 2021
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu Weixun Wang Hangtian Jia Yixiang Wang Yingfeng Chen Jianye Hao Feng Wu Changjie Fan OffRL 90 178 0 05 Nov 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 48 33 0 02 Oct 2020
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence Ziwei Guan Tengyu Xu Yingbin Liang 57 16 0 24 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 74 129 0 08 Jun 2020
State-only Imitation with Transition Dynamics Mismatch Tanmay Gangwani Jian Peng 76 53 0 27 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 158 205 0 10 Dec 2019
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance Mingxuan Jing Xiaojian Ma Wenbing Huang F. Sun Chao Yang Bin Fang Huaping Liu 63 60 0 16 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 80 250 0 06 Nov 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation Ruohan Wang C. Ciliberto P. Amadori Y. Demiris 57 62 0 16 May 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 80 358 0 12 Apr 2019
Imitation Learning from Imperfect Demonstration Yueh-hua Wu Nontawat Charoenphakdee Han Bao Voot Tangkaratt Masashi Sugiyama 54 161 0 27 Jan 2019
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 58 61 0 17 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 95 260 0 09 Sep 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 90 480 0 23 Apr 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 102 1,155 0 31 Mar 2017
Third-Person Imitation Learning Bradly C. Stadie Pieter Abbeel Ilya Sutskever 75 235 0 06 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 177 4,827 0 26 Jan 2017
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 77 250 0 11 Oct 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 141 1,114 0 11 Sep 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,119 0 10 Jun 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 175 2,073 0 31 Dec 2015
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 97 560 0 30 Oct 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 125 3,438 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,796 0 19 Feb 2015