Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning

10 September 2020

Yunzhu Li

Papers citing "Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning"

27 / 27 papers shown

Title
FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation Chao Tang Anxing Xiao Yuhong Deng Tianrun Hu Wenlong Dong Hanbo Zhang David Hsu Hong Zhang 121 2 0 24 Feb 2025
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen Jiangwei Yu Huan Zhang Yunzhu Li Yunzhu Li 135 1 0 12 Dec 2024
Visual Imitation Made Easy S. Young Dhiraj Gandhi Shubham Tulsiani Abhinav Gupta Pieter Abbeel Lerrel Pinto 63 138 0 11 Aug 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 74 660 0 30 Apr 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 75 190 0 11 Mar 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation H.J. Terry Suh Russ Tedrake 48 62 0 21 Feb 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 57 36 0 12 Nov 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 216 414 0 25 Sep 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 72 162 0 16 Sep 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 42 195 0 19 Jun 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 83 383 0 27 Mar 2019
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation Lucas Manuelli Wei Gao Peter R. Florence Russ Tedrake 97 254 0 15 Mar 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 106 385 0 03 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 84 1,435 0 12 Nov 2018
A Data-Efficient Approach to Precise and Controlled Pushing Maria Bauzá F. Hogan Alberto Rodriguez AI4CE 52 58 0 26 Jul 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 93 278 0 22 Jun 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 73 570 0 27 Mar 2018
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 73 320 0 15 Oct 2017
Feedback Control of the Pusher-Slider System: A Story of Hybrid and Underactuated Contact Dynamics F. Hogan Alberto Rodriguez 59 115 0 24 Nov 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 62 564 0 23 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 70 1,043 0 23 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 683 37,843 0 20 May 2016
Deep Spatial Autoencoders for Visuomotor Learning Chelsea Finn X. Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel SSL 56 552 0 21 Sep 2015
Model Predictive Path Integral Control using Covariance Variable Importance Sampling Grady Williams Andrew Aldrich Evangelos Theodorou 62 150 0 03 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 63 844 0 24 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,002 0 19 Jul 2012