Task-Embedded Control Networks for Few-Shot Imitation Learning

8 October 2018

Michael Bloesch

Papers citing "Task-Embedded Control Networks for Few-Shot Imitation Learning"

28 / 28 papers shown

Title
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang Dongfang Liu James Liang Wenhao Yang Qifan Wang Cheng Han Jiebo Luo Ruixiang Tang Ruixiang Tang AAML 74 3 0 18 Nov 2024
Effective Tuning Strategies for Generalist Robot Manipulation Policies Wenbo Zhang Yang Li Yanyuan Qiao Siyuan Huang Jiajun Liu Feras Dayoub Xiao Ma Lingqiao Liu 21 0 0 02 Oct 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 33 7 0 21 Jun 2024
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation Marina Y. Aoyama João Moura Namiko Saito S. Vijayakumar 16 5 0 08 Sep 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen ... Ted Xiao Peng-Tao Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 30 1,099 0 28 Jul 2023
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot Haoshu Fang Hongjie Fang Zhenyu Tang Jirong Liu Chenxi Wang Junbo Wang Haoyi Zhu Cewu Lu 38 58 0 02 Jul 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 81 2 0 02 May 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data John So Amber Xie Sunggoo Jung J. Edlund Rohan Thakker Ali Agha-mohammadi Pieter Abbeel Stephen James 26 9 0 25 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 45 10 0 15 Oct 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 17 3 0 14 Oct 2022
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 51 517 0 04 Feb 2022
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 13 23 0 14 Nov 2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation Stephen James Kentaro Wada Tristan Laidlow Andrew J. Davison 20 123 0 23 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 37 270 0 16 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 28 41 0 05 Mar 2021
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 21 36 0 26 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 27 608 0 10 Sep 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real Kanishka Rao Chris Harris A. Irpan Sergey Levine Julian Ibarz Mohi Khansari 25 182 0 16 Jun 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 45 35 0 25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 18 60 0 24 Feb 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 17 92 0 28 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 28 523 0 26 Sep 2019
Training an Interactive Helper Mark P. Woodward Chelsea Finn Karol Hausman 22 1 0 24 Jun 2019
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 154 0 06 Jul 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 320 11,681 0 09 Mar 2017