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Adversarial Imitation Learning from Visual Observations using Latent Information

29 September 2023

Papers citing "Adversarial Imitation Learning from Visual Observations using Latent Information"

37 / 37 papers shown

Title
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 160 0 0 14 Dec 2024
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 64 14 0 02 Feb 2023
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 55 2 0 28 Jun 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 59 14 0 25 Apr 2022
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task Vittorio Giammarino Matthew F. Dunne Kylie N. Moore Michael Hasselmo Chantal E. Stern I. Paschalidis OffRL 66 5 0 11 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 140 51 0 29 Oct 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 106 350 0 20 Jul 2021
Imitation Learning from MPC for Quadrupedal Multi-Gait Control Alexander Reske Jan Carius Yuntao Ma Farbod Farshidian Marco Hutter 64 38 0 26 Mar 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 53 86 0 25 Feb 2021
MobILE: Model-Based Imitation Learning From Observation Alone Rahul Kidambi Jonathan D. Chang Wen Sun 51 40 0 22 Feb 2021
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration Zhihao Cheng Liu Liu Aishan Liu Hao Sun Meng Fang Dacheng Tao 33 10 0 16 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 121 869 0 05 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 395 6,837 0 13 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 74 129 0 08 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 89 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 110 793 0 28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 93 1,092 0 08 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 378 18,866 0 13 Feb 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 158 205 0 10 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 128 1,371 0 03 Dec 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 80 250 0 06 Nov 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 78 71 0 10 Oct 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 85 382 0 01 Jul 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 143 2,449 0 13 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 92 1,446 0 12 Nov 2018
Learning from Demonstration in the Wild Bertrand Higy K. Shiarlis Xi Chen Vitaly Kurin Sudhanshu Kasewa ... João Gomes Supratik Paul F. Oliehoek João Messias Shimon Whiteson 84 76 0 08 Nov 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
Generative Adversarial Imitation from Observation F. Torabi Garrett A. Warnell Peter Stone GAN 86 245 0 17 Jul 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,143 0 02 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 111 380 0 11 Jul 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,560 0 31 Mar 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,119 0 10 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013