What Matters in Learning from Offline Human Demonstrations for Robot
Manipulation

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

6 August 2021

Soroush Nasiriany

Li Fei-Fei

Silvio Savarese

Roberto Martín-Martín

Papers citing "What Matters in Learning from Offline Human Demonstrations for Robot Manipulation"

14 / 14 papers shown

Title
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings Andreas Sochopoulos Nikolay Malkin Nikolaos Tsagkas João Moura Michael Gienger S. Vijayakumar 29 68 0 02 May 2025
J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators Shivani Guptasarma Matthew Strong HongHao Zhen Monroe Kennedy III 21 0 0 01 May 2025
RoboGround: Robotic Manipulation with Grounded Vision-Language Priors Haifeng Huang Xinyi Chen Y. Chen H. Li Xiaoshen Han Z. Wang Tai Wang Jiangmiao Pang Zhou Zhao LM&Ro 72 48 0 30 Apr 2025
PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking Xiatao Sun Yinxing Chen Daniel Rakita VGen 39 0 0 29 Apr 2025
Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions Tomoharu Aizu Takeru Oba Yuki Kondo Norimichi Ukita DiffM 65 31 0 28 Apr 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning Haoran Geng Feishi Wang Songlin Wei Y. Li Bangjun Wang ... Hao Dong Siyuan Huang Yue Wang Jitendra Malik Pieter Abbeel 64 130 0 26 Apr 2025
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 27 0 0 25 Apr 2025
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability Zhengtong Xu Zichen Miao Qiang Qiu Zhe Zhang Yu She 40 0 0 18 Apr 2025
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping David Snyder Asher Hancock Apurva Badithela Emma Dixon Patrick "Tree" Miller Rares Ambrus Anirudha Majumdar Masha Itkina Haruki Nishimura OffRL 57 1 0 14 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 69 0 0 11 Mar 2025
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 44 0 0 04 Dec 2023
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 180 338 0 16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 188 106 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020