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"

33 / 33 papers shown

Title
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 S. Zhang Jian Tang LM&Ro 105 15 0 17 Feb 2025
In-Context Learning Enables Robot Action Prediction in LLMs Yida Yin Zekai Wang Yuvan Sharma Dantong Niu Trevor Darrell Roei Herzig LM&Ro 47 1 0 16 Oct 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model Chengyang Gu Yuxin Pan Haotian Bai Hui Xiong Yize Chen 27 0 0 03 Oct 2024
Precise Pick-and-Place using Score-Based Diffusion Networks Shih-Wei Guo Tsu-Ching Hsiao Yu-Lun Liu Chun-Yi Lee DiffM 26 1 0 15 Sep 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 61 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 70 0 0 14 Aug 2024
Robotic Control via Embodied Chain-of-Thought Reasoning Michał Zawalski William Chen Karl Pertsch Oier Mees Chelsea Finn Sergey Levine LRM LM&Ro 32 49 0 11 Jul 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 60 38 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 41 163 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 34 39 0 29 Jan 2024
Adaptive Mobile Manipulation for Articulated Objects In the Open World Haoyu Xiong Russell Mendonca Kenneth Shaw Deepak Pathak 22 37 0 25 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 25 14 0 20 Jan 2024
On Bringing Robots Home Nur Muhammad (Mahi) Shafiullah Anant Rai Haritheja Etukuru Yiqian Liu Ishan Misra Soumith Chintala Lerrel Pinto 16 74 0 27 Nov 2023
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 8 0 0 24 Nov 2023
Structured World Models from Human Videos Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 13 85 0 21 Aug 2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning Jianlan Luo Charles Xu Xinyang Geng Gilbert Feng Kuan Fang L. Tan S. Schaal Sergey Levine 24 52 0 18 Jul 2023
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot Haoshu Fang Hongjie Fang Zhenyu Tang Jirong Liu Chenxi Wang Junbo Wang Haoyi Zhu Cewu Lu 19 55 0 02 Jul 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu Li Jiang Jianxiong Li Zhuoran Yang Zhaoran Wang Victor Chan Xianyuan Zhan OffRL 28 71 0 28 Mar 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 9 1 0 26 Jan 2023
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 13 67 0 12 Dec 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 16 14 0 27 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 29 10 0 15 Oct 2022
Human-to-Robot Imitation in the Wild Shikhar Bahl Abhi Gupta Deepak Pathak 9 161 0 19 Jul 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 25 274 0 28 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 19 149 0 13 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 14 115 0 25 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 14 218 0 09 Mar 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 22 71 0 11 Jan 2022
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 85 60 0 09 Nov 2021
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances Aidan Curtis Xiaolin Fang L. Kaelbling Tomás Lozano-Pérez Caelan Reed Garrett 131 63 0 09 Aug 2021
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 32 34 0 25 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017