Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second

13 June 2023

Papers citing "Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second"

6 / 6 papers shown

Title
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement Erik Wijmans Irfan Essa Dhruv Batra OffRL 28 13 0 11 Oct 2022
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... C. Karen Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 135 152 0 06 Aug 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 146 221 0 06 Aug 2021
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani Winson Han Alvaro Herrasti Eli VanderBilt Luca Weihs Eric Kolve Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 155 124 0 22 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He-Nan Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 204 485 0 19 Mar 2020