One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors

23 September 2015

Pieter Abbeel

Papers citing "One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors"

34 / 34 papers shown

Title
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 89 2 0 07 Jun 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 26 3 0 08 Jan 2024
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 37 45 0 12 Oct 2023
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 18 21 0 05 Dec 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 22 27 0 17 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation Ben Evans Abitha Thankaraj Lerrel Pinto 47 20 0 10 Mar 2022
Bundled Gradients through Contact via Randomized Smoothing H.J. Terry Suh Tao Pang Russ Tedrake 89 53 0 11 Sep 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 32 26 0 25 Feb 2021
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 29 22 0 10 Nov 2020
TAMPC: A Controller for Escaping Traps in Novel Environments Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 31 7 0 23 Oct 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 41 1 0 29 Jul 2020
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands Liam Schramm A. Sintov Abdeslam Boularias 33 6 0 21 May 2020
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 32 17 0 26 Nov 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
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 31 108 0 22 Jul 2019
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty Ajinkya Jain S. Niekum 24 19 0 21 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 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 41 13 0 30 Mar 2019
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control Zhuo Xu Chen Tang Masayoshi Tomizuka OffRL 27 35 0 07 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 102 0 24 Nov 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 35 368 0 24 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 29 44 0 17 Apr 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 23 150 0 20 Mar 2018
Pick and Place Without Geometric Object Models Marcus Gualtieri A. T. Pas Robert Platt 23 56 0 18 Jul 2017
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 32 19 0 15 May 2017
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,008 0 09 Nov 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 24 248 0 11 Oct 2016
Learning from the Hindsight Plan -- Episodic MPC Improvement Aviv Tamar G. Thomas Tianhao Zhang Sergey Levine Pieter Abbeel 32 65 0 28 Sep 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards S. Krishnan Animesh Garg Richard Liaw Lauren Miller Florian T. Pokorny Ken Goldberg 36 40 0 21 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 30 1,008 0 02 Mar 2016