One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks

25 October 2018

Pieter Abbeel

Papers citing "One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks"

22 / 22 papers shown

Title
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill Sangwoo Shin Daehee Lee Minjong Yoo Woo Kyung Kim Honguk Woo 38 10 0 13 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang Li-Cheng Lan Wei-Fang Sun Chien Feng Cho-Jui Hsieh Chun-Yi Lee 46 0 0 01 Feb 2024
Cross-Domain Transfer via Semantic Skill Imitation Karl Pertsch Ruta Desai Vikash Kumar Franziska Meier Joseph J. Lim Dhruv Batra Akshara Rai LM&Ro 21 19 0 14 Dec 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap Mathias Lechner Ramin Hasani Alexander Amini Tsun-Hsuan Wang T. Henzinger Daniela Rus CML OOD 34 7 0 09 Oct 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 84 20 0 06 Dec 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 Nov 2021
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 58 61 0 28 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 50 24 0 21 Sep 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 31 47 0 15 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 272 0 16 Apr 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 22 2 0 22 Mar 2021
Imitation Learning for High Precision Peg-in-Hole Tasks S. Gubbi Shishir Kolathaya B. Amrutur 37 21 0 26 Dec 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 35 20 0 29 Mar 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks Bohan Wu Feng Xu Zhanpeng He Abhi Gupta Peter K. Allen OffRL 23 13 0 10 Mar 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 147 45 0 08 Mar 2020
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data Boyi Liu Lujia Wang Ming Liu Cheng-Zhong Xu FedML 30 67 0 24 Dec 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
A Behavioral Approach to Visual Navigation with Graph Localization Networks Kevin Chen Juan Pablo de Vicente G. Sepulveda Fei Xia Á. Soto Marynel Vázquez Silvio Savarese GNN 20 100 0 01 Mar 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 41 16 0 31 Dec 2018
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 57 9 0 17 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 559 11,727 0 09 Mar 2017