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Deep Visual Foresight for Planning Robot Motion

3 October 2016

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 453 papers shown

Title
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators Brijen Thananjeyan Justin Kerr Huang Huang Joseph E. Gonzalez Ken Goldberg 73 10 0 09 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images Bang You Oleg Arenz Youping Chen Jan Peters 98 19 0 02 Mar 2022
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks Hongtao Wu Jikai Ye Xin Meng Chris Paxton Gregory Chirikjian 151 17 0 22 Feb 2022
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge Kebing Jin H. Zhuo 136 5 0 15 Feb 2022
Deep Movement Primitives: toward Breast Cancer Examination Robot Oluwatoyin Sanni G. Bonvicini Muhammad Arshad Khan P. C. López-Custodio Kiyanoush Nazari E. AmirM.Ghalamzan 100 18 0 14 Feb 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 280 551 0 04 Feb 2022
STIR $^2$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks Jesús Bujalance Martín Fabien Moutarde OffRL 75 2 0 11 Jan 2022
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 123 107 0 24 Dec 2021
Tool as Embodiment for Recursive Manipulation Yukiyasu Noguchi T. Matsushima Y. Matsuo S. Gu 99 7 0 01 Dec 2021
Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera Rotation for Omnidirectional Image Kosuke Tahara Noriaki Hirose 61 2 0 24 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 90 43 0 04 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 89 31 0 02 Nov 2021
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling Jesús Bujalance Martín Raphael Chekroun Fabien Moutarde OffRL 64 5 0 27 Oct 2021
Bootstrapping Concept Formation in Small Neural Networks M. Tamosiunaite Tomas Kulvicius Florentin Wörgötter LRM AI4CE OCL NAI 46 2 0 26 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 73 3 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 101 127 0 18 Oct 2021
Learn Proportional Derivative Controllable Latent Space from Pixels Weiyao Wang Marin Kobilarov Gregory Hager 75 1 0 15 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 211 62 0 01 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 261 236 0 27 Sep 2021
VP-GO: a "light" action-conditioned visual prediction model Anji Ma Yoann Fleytoux Jean-Baptiste Mouret S. Ivaldi 68 0 0 26 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 222 87 0 22 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 162 24 0 21 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 163 48 0 19 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 96 77 0 16 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 86 4 0 14 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 132 160 0 02 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning Jingfeng Wu Vladimir Braverman Lin F. Yang 82 12 0 11 Aug 2021
Accurate Grid Keypoint Learning for Efficient Video Prediction Xiaojie Gao Yueming Jin Qi Dou Chi-Wing Fu Pheng-Ann Heng VGen 58 17 0 28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 102 30 0 27 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 83 37 0 17 Jul 2021
Excavation Learning for Rigid Objects in Clutter Qingkai Lu Liangjun Zhang 63 15 0 09 Jul 2021
Deep Learning for Embodied Vision Navigation: A Survey Fengda Zhu Yi Zhu Vincent CS Lee Xiaodan Liang Xiaojun Chang EgoV LM&Ro 122 0 0 07 Jul 2021
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation Lars Berscheid Pascal Meissner Torsten Kröger 41 2 0 06 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 111 88 0 01 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 114 193 0 01 Jul 2021
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer Yoonsuck Choe AI4CE 50 0 0 29 Jun 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 118 69 0 29 Jun 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 82 6 0 26 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 115 84 0 24 Jun 2021
No-frills Dynamic Planning using Static Planners Mara Levy Vasista Ayyagari Abhinav Shrivastava 43 0 0 17 Jun 2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model Chongkai Gao Haichuan Gao Shangqi Guo Tianren Zhang Feng Chen 86 27 0 17 Jun 2021
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control Salar Asayesh Mo Chen M. Mehrandezh Kamal Gupta 65 3 0 02 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 96 129 0 31 May 2021
Taylor saves for later: disentanglement for video prediction using Taylor representation Ting Pan Zhuqing Jiang Jianan Han S. Wen Aidong Men Haiying Wang 60 5 0 24 May 2021
Pathdreamer: A World Model for Indoor Navigation Jing Yu Koh Honglak Lee Yinfei Yang Jason Baldridge Peter Anderson 98 87 0 18 May 2021
Visual Perspective Taking for Opponent Behavior Modeling Boyuan Chen Yuhang Hu Robert Kwiatkowski Shuran Song Hod Lipson 70 11 0 11 May 2021
Efficient Self-Supervised Data Collection for Offline Robot Learning Shadi Endrawis Gal Leibovich Guy Jacob Gal Novik Aviv Tamar SSL OffRL 76 9 0 10 May 2021
Stochastic Image-to-Video Synthesis using cINNs Michael Dorkenwald Timo Milbich A. Blattmann Robin Rombach Konstantinos G. Derpanis Bjorn Ommer DiffM VGen 115 55 0 10 May 2021
Object-centric Video Prediction without Annotation Karl Schmeckpeper G. Georgakis Kostas Daniilidis OCL VGen 61 7 0 06 May 2021
DeepMPCVS: Deep Model Predictive Control for Visual Servoing Pushkal Katara Y. Harish Harit Pandya Abhinav Gupta Aadil Mehdi Sanchawala Gourav Kumar Brojeshwar Bhowmick K. MadhavaKrishna 55 12 0 03 May 2021