RoboNet: Large-Scale Multi-Robot Learning

24 October 2019

Stephen Tian

Papers citing "RoboNet: Large-Scale Multi-Robot Learning"

32 / 82 papers shown

Title
Data-efficient learning of object-centric grasp preferences Yoann Fleytoux Anji Ma S. Ivaldi Jean-Baptiste Mouret 19 4 0 01 Mar 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 72 520 0 04 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 24 0 0 01 Feb 2022
Tool as Embodiment for Recursive Manipulation Yukiyasu Noguchi T. Matsushima Y. Matsuo S. Gu 35 7 0 01 Dec 2021
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning Zhiyu Yao Yunbo Wang Haixu Wu Jianmin Wang Mingsheng Long AI4TS 29 8 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 169 222 0 27 Sep 2021
VP-GO: a "light" action-conditioned visual prediction model Anji Ma Yoann Fleytoux Jean-Baptiste Mouret S. Ivaldi 17 0 0 26 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 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
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 39 130 0 30 Jul 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 58 87 0 15 Jun 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization Carmel Rabinovitz Niko A. Grupen Aviv Tamar OOD SSL 28 3 0 20 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 106 0 10 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 27 99 0 06 Mar 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
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 16 517 0 04 Feb 2021
FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection A. Inceoğlu E. Aksoy Abdullah Cihan Ak Sanem Sariel 24 22 0 11 Nov 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 33 143 0 27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 34 155 0 26 Oct 2020
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction Iman Nematollahi Oier Mees Lukás Hermann Wolfram Burgard 12 15 0 02 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 44 9 0 26 Jul 2020
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin Yu Bai Yu-Xiang Wang OffRL 38 31 0 07 Jul 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
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 443 11,715 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 810 0 13 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,916 0 13 Jun 2015