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PhD Studentship: Robotics and Machine Learning

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Details

This project explores a novel artificial intelligence method, called Turing Learning [2], that enables robots to model themselves, each other or their environment without prior information. Turing Learning generalizes GANs - one of the most promising machine learning methods [3], making it applicable to real-time modelling [4].

Turing Learning refers to a family of machine learning algorithms that generate models and discriminators in a competitive setting [2]. In Turing Learning, a training agent, T, provides genuine data samples (the training data), while a model agent, M, provides counterfeit data samples. A discriminator agent, D, labels the data samples as either genuine or counterfeit. Agents M and D are being optimized: D is rewarded for labelling data samples correctly, while M is rewarded for misleading D (to label its data samples as genuine). The underlying idea of Turing Learning is inspired by the Turing test.

The project will be carried out in the Natural Robotics Lab [1].

[1] http://naturalrobotics.group.shef.ac.uk
[2] Turing learning: a metric-free approach to inferring behavior and its application to swarms. http://dx.doi.org/%2010.1007/s11721-016-0126-1
[3] GANs https://en.wikipedia.org/wiki/Generative_adversarial_network
[4] Generalizing GANs: A Turing Perspective https://nips.cc/Conferences/2017/Schedule?showEvent=9402

 

Funding Notes

Prospective applicants should have a degree in a relevant subject (computer science, engineering, machine learning, artificial intelligence, mathematics, physics, robotics etc) and good experience in programming.

Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January.

https://www.sheffield.ac.uk/acse/research-degrees/scholarships

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Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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