Imperial College London
Portrait Picture

Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Tjomsland:2019,
author = {Tjomsland, J and Shafti, A and Faisal, AA},
publisher = {arXiv},
title = {Human-robot collaboration via deep reinforcement learning of real-world interactions},
url = {http://arxiv.org/abs/1912.01715v1},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - We present a robotic setup for real-world testing and evaluation ofhuman-robot and human-human collaborative learning. Leveraging thesample-efficiency of the Soft Actor-Critic algorithm, we have implemented arobotic platform able to learn a non-trivial collaborative task with a humanpartner, without pre-training in simulation, and using only 30 minutes ofreal-world interactions. This enables us to study Human-Robot and Human-Humancollaborative learning through real-world interactions. We present preliminaryresults, showing that state-of-the-art deep learning methods can takehuman-robot collaborative learning a step closer to that of humans interactingwith each other.
AU  - Tjomsland,J
AU  - Shafti,A
AU  - Faisal,AA
PB  - arXiv
PY  - 2019///
TI  - Human-robot collaboration via deep reinforcement learning of real-world interactions
UR  - http://arxiv.org/abs/1912.01715v1
UR  - http://hdl.handle.net/10044/1/78655
ER  -
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