Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies-Reference-Cited by-同舟云学术

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Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies

Published:2024-02 Issue:2 Volume:9 Page:1294-1301
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Qiang¹^ORCID,McCarthy Robert²^ORCID,Bulens David Cordova¹^ORCID,Sanchez Francisco Roldan³^ORCID,McGuinness Kevin³^ORCID,O'Connor Noel E.³^ORCID,Redmond Stephen J.¹^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland

2. CeADAR-Ireland's Centre for Applied AI, University College Dublin, Dublin, Ireland

3. School of Electronic Engineering, Dublin City University, D9 Dublin, Ireland

Funder

China Scholarship Council

Science Foundation Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10360389/10356825.pdf?arnumber=10356825

Reference43 articles.

1. Learning agile and dynamic motor skills for legged robots

2. Learning robot in-hand manipulation with tactile features

3. Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward‐based tasks

4. Benchmarking offline reinforcement learning on real-robot hardware;Grtler,2022

5. PLAS: Latent action space for offline reinforcement learning;Zhou,2021

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