One-Shot Visual Imitation Learning via Meta-Learning

14 September 2017

Pieter Abbeel

Papers citing "One-Shot Visual Imitation Learning via Meta-Learning"

50 / 118 papers shown

Title
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models Iman Nematollahi Erick Rosete-Beas Adrian Rofer Tim Welschehold Abhinav Valada Wolfram Burgard 19 15 0 25 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing X. Tan Zhikang Liu Chenxiao Yu A. Rosendo 22 0 0 15 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 Nov 2021
Learning Eye-in-Hand Camera Calibration from a Single Image Eugene Valassakis Kamil Dreczkowski Edward Johns 27 17 0 01 Nov 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 11 0 14 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 34 25 0 08 Oct 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 220 0 27 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 35 84 0 17 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 37 14 0 15 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 39 154 0 02 Sep 2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits Wenshuo Guo Kumar Krishna Agrawal Aditya Grover Vidya Muthukumar A. Pananjady 16 8 0 28 Jun 2021
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators Shreshth Tuli Rajas Bansal Rohan Paul M. - LM&Ro 15 13 0 05 May 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 47 271 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 39 41 0 05 Mar 2021
AGENT: A Benchmark for Core Psychological Reasoning Tianmin Shu Abhishek Bhandwaldar Chuang Gan Kevin A. Smith Shari Liu Dan Gutfreund E. Spelke J. Tenenbaum T. Ullman 34 66 0 24 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 48 143 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 516 0 04 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 26 1 0 19 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 28 57 0 22 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 25 24 0 15 Dec 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty R. Russel M. Benosman J. Baar 32 19 0 10 Oct 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 24 93 0 10 Jul 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 26 74 0 16 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model Lars Berscheid Pascal Meissner Torsten Kröger SSL DRL 24 67 0 15 Jun 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 33 43 0 21 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 19 35 0 17 Apr 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 33 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 15 13 0 10 Mar 2020
Vision-based Robot Manipulation Learning via Human Demonstrations Zhixin Jia Mengxiang Lin Zhixin Chen Shibo Jian SSL 14 7 0 01 Mar 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 48 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 23 60 0 24 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 28 49 0 18 Feb 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 19 67 0 24 Dec 2019
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 26 9 0 15 Dec 2019
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 28 61 0 02 Oct 2019
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes M. Bajracharya James Borders D. Helmick Thomas Kollar Michael Laskey ... A. Ochiai Josh Petersen K. Shankar Kevin Stone Yutaka Takaoka 25 30 0 30 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 54 530 0 26 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 24 844 0 10 Sep 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises F. Mohammadi M. Amini H. Arabnia OffRL 28 22 0 26 Aug 2019
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning De-An Huang Danfei Xu Yuke Zhu Animesh Garg Silvio Savarese Fei-Fei Li Juan Carlos Niebles CLL 24 18 0 16 Aug 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 32 65 0 26 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
Recent Advances in Imitation Learning from Observation F. Torabi Garrett A. Warnell Peter Stone 15 162 0 30 May 2019
Bayesian policy selection using active inference Ozan Çatal J. Nauta Tim Verbelen Pieter Simoens Bart Dhoedt BDL 35 32 0 17 Apr 2019
Few-Shot Bayesian Imitation Learning with Logical Program Policies Tom Silver Kelsey R. Allen Alexander K. Lew L. Kaelbling J. Tenenbaum LM&Ro 26 50 0 12 Apr 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking Siqi Zhou Andriy Sarabakha Erdal Kayacan M. Helwa Angela P. Schoellig 35 13 0 30 Mar 2019
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 21 10 0 12 Dec 2018