Get Back Here: Robust Imitation by Return-to-Distribution Planning

2 May 2023

Sertan Girgin

Olivier Pietquin

Papers citing "Get Back Here: Robust Imitation by Return-to-Distribution Planning"

27 / 27 papers shown

Title
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning Eric Jang A. Irpan Mohi Khansari Daniel Kappler F. Ebert Corey Lynch Sergey Levine Chelsea Finn LM&Ro 235 538 0 04 Feb 2022
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 82 77 0 01 Jun 2021
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 64 127 0 21 Dec 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 164 442 0 25 Sep 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 52 154 0 12 Aug 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 46 187 0 26 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 52 129 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 108 226 0 01 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 88 669 0 12 May 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 111 1,349 0 03 Dec 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation Ruohan Wang C. Ciliberto P. Amadori Y. Demiris 52 62 0 16 May 2019
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 83 840 0 16 Nov 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 84 1,430 0 12 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 79 292 0 07 Nov 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 64 136 0 08 Oct 2018
HG-DAgger: Interactive Imitation Learning with Human Experts Michael Kelly Chelsea Sidrane Katherine Driggs-Campbell Mykel J. Kochenderfer OffRL 217 228 0 05 Oct 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 76 259 0 09 Sep 2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings Omer Gottesman Fredrik D. Johansson Joshua Meier Jack Dent Donghun Lee ... Matthieu Komorowski A. Faisal Leo Anthony Celi David Sontag Finale Doshi-Velez OOD OffRL 32 134 0 31 May 2018
Safe end-to-end imitation learning for model predictive control Keuntaek Lee Kamil Saigol Evangelos A. Theodorou BDL 77 24 0 27 Mar 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 62 360 0 05 Feb 2018
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 71 656 0 12 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 117 561 0 14 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 446 18,931 0 20 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 232 2,959 0 20 Mar 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,101 0 10 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 89 4,163 0 25 Apr 2016
Model Predictive Path Integral Control using Covariance Variable Importance Sampling Grady Williams Andrew Aldrich Evangelos Theodorou 62 150 0 03 Sep 2015