M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Research output: Contribution to journal › Conference article › peer-review
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M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation. / Lygerakis, Fotios; Dave, Vedant; Rückert, Elmar.
In: IEEE International Conference on Ubiquitous Robots, 01.03.2024.
In: IEEE International Conference on Ubiquitous Robots, 01.03.2024.
Research output: Contribution to journal › Conference article › peer-review
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Bibtex - Download
@article{5407c60bb7f049448efb284034e46f48,
title = "M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation",
keywords = "Contrastive Learning, Manipulation, Multimodal Reinforcement Learning, Multimodal Representation Learning, Reinforcement Learning, Robot Learning",
author = "Fotios Lygerakis and Vedant Dave and Elmar R{\"u}ckert",
year = "2024",
month = mar,
day = "1",
language = "English",
journal = "IEEE International Conference on Ubiquitous Robots",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
AU - Lygerakis, Fotios
AU - Dave, Vedant
AU - Rückert, Elmar
PY - 2024/3/1
Y1 - 2024/3/1
KW - Contrastive Learning
KW - Manipulation
KW - Multimodal Reinforcement Learning
KW - Multimodal Representation Learning
KW - Reinforcement Learning
KW - Robot Learning
M3 - Conference article
JO - IEEE International Conference on Ubiquitous Robots
JF - IEEE International Conference on Ubiquitous Robots
ER -
