One-Shot Imitation Learning

21 March 2017

Pieter Abbeel

Papers citing "One-Shot Imitation Learning"

50 / 127 papers shown

Title
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 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
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 45 61 0 28 Sep 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
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl Nicola Pezzotti 27 1 0 21 Aug 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 44 14 0 19 Jul 2021
Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj Lingyang Chu Zihui Xue J. Pei Lanjun Wang P. C. Lam Yong Zhang OOD 43 96 0 08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,016 0 30 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 34 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
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
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion Shuaiyi Nie Shu Guo Zhenyu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xu 118 114 0 19 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 27 86 0 05 Oct 2020
AvE: Assistance via Empowerment Yuqing Du Stas Tiomkin Emre Kıcıman Daniel Polani Pieter Abbeel Anca Dragan 33 35 0 26 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 21 4 0 17 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 18 11 0 15 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model Lars Berscheid Pascal Meissner Torsten Kröger SSL DRL 24 66 0 15 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 156 0 25 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 76 1,935 0 11 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
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
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
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 121 0 17 Nov 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 6 272 0 18 Oct 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
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 22 86 0 10 Sep 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 17 18 0 16 Aug 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman 20 40 0 27 Jun 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 27 33 0 24 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 353 0 06 Jun 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
Few-Shot Bayesian Imitation Learning with Logical Program Policies Tom Silver Kelsey R. Allen Alexander K. Lew L. Kaelbling J. Tenenbaum LM&Ro 21 50 0 12 Apr 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 18 14 0 25 Mar 2019
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision Sorin Grigorescu GAN VLM 12 12 0 19 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 22 80 0 12 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 36 825 0 16 Nov 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 13 68 0 25 Oct 2018
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 54 9 0 17 Oct 2018
Deep Transfer Reinforcement Learning for Text Summarization Yaser Keneshloo Naren Ramakrishnan Chandan K. Reddy 27 37 0 15 Oct 2018
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation Dafni Antotsiou Guillermo Garcia-Hernando Tae-Kyun Kim 30 73 0 03 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 37 71 0 30 Sep 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 20 53 0 29 Sep 2018