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MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

16 April 2021

Papers citing "MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale"

50 / 74 papers shown

Title
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Guanxing Lu Wenkai Guo Chubin Zhang Yuheng Zhou Haonan Jiang Zifeng Gao Yansong Tang Ziwei Wang OffRL 105 0 0 24 May 2025
ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems Zhiling Chen Yang Zhang Fardin Jalil Piran Qianyu Zhou Jiong Tang Farhad Imani LM&Ro 81 0 0 22 May 2025
EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments Dongping Li Tielong Cai Tianci Tang Wenhao Chai Katherine Rose Driggs-Campbell Gaoang Wang LM&Ro 214 0 0 11 Mar 2025
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation Kun Wu Chengkai Hou Jiaming Liu Zhengping Che Xiaozhu Ju ... Zhenyu Wang Pengju An Siyuan Qian Shanghang Zhang Jian Tang LM&Ro 216 23 0 18 Dec 2024
In-Context Learning Enables Robot Action Prediction in LLMs Yida Yin Zekai Wang Yuvan Sharma Dantong Niu Trevor Darrell Roei Herzig LM&Ro 251 4 0 16 Oct 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 127 1 0 22 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 116 0 0 14 Aug 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 305 54 0 23 May 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset Alexander Khazatsky Karl Pertsch Suraj Nair Ashwin Balakrishna Sudeep Dasari ... Thomas Kollar Sergey Levine Chelsea Finn Sergey Levine Chelsea Finn 231 226 0 19 Mar 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 128 49 0 29 Jan 2024
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 72 0 0 31 Aug 2023
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 65 185 0 30 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 97 34 0 25 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 53 87 0 25 Feb 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras Iretiayo Akinola Jacob Varley Dmitry Kalashnikov SSL 66 30 0 21 Feb 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation H.J. Terry Suh Russ Tedrake 76 62 0 21 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 189 1,230 0 19 Jan 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 96 36 0 12 Nov 2019
Learning One-Shot Imitation from Humans without Humans Alessandro Bonardi Stephen James Andrew J. Davison 75 80 0 04 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 256 1,182 0 24 Oct 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 70 279 0 18 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 121 1,232 0 16 Oct 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 116 517 0 18 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 117 101 0 08 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 70 63 0 25 Apr 2019
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight Annie Xie F. Ebert Sergey Levine Chelsea Finn LM&Ro 60 80 0 11 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 83 661 0 19 Mar 2019
Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao AI4CE 147 1,273 0 31 Jan 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 112 392 0 03 Dec 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 65 68 0 25 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 67 211 0 16 Oct 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 171 1,289 0 10 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 74 136 0 08 Oct 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 135 320 0 12 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 89 544 0 12 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 139 1,472 0 27 Jun 2018
The Natural Language Decathlon: Multitask Learning as Question Answering Bryan McCann N. Keskar Caiming Xiong R. Socher AIMat MLLM BDL 149 646 0 20 Jun 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,222 0 23 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian Adam Trischler Yoshua Bengio C. Pal SSL 82 330 0 30 Mar 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 99 570 0 27 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 90 449 0 28 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 113 349 0 20 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 105 227 0 13 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 85 279 0 08 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 243 1,607 0 05 Feb 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 70 361 0 05 Feb 2018
Multi-task Learning for Continuous Control Himani Arora Rajath Kumar Jason Krone Chong Li 60 13 0 03 Feb 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 138 140 0 20 Dec 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 91 127 0 27 Nov 2017