It has now been established that evolutionary approaches to constructing neural networks are effective in performing complex simulated self-driving tasks, such as parking. This represents a form of reinforcement learning: for a nice demonstration example see:
https://www.youtube.com/watch?v=MlFZjLkEIEw&t=478s.
In this project we use an extension of the vehicle parking problem to consider effective strategies for scenario generalisation – for example, being able to park a more complex vehicle (e.g., an articulated vehicle with a trailer) in any given location, without necessarily being highly trained on every specific possible scenario in advance.
Using extensions to the neuro-evolutionary algorithms such as NEAT, we will consider how transferable learning can be established and applied through the parking scenario. We will use extensive 2D simulation, with the possibility of representing the work in tools such as Unity for demonstration purposes. This PhD is suitable for someone keen to gain in-depth knowledge of state-of-the-art deep reinforcement learning through evolutionary processes. These have been established as important techniques in the context of self-driving.
The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing (AIMLAC) aims at forming the next generation of AI innovators across a broad range of STEMM disciplines. The CDT provides advanced multi-disciplinary training in an inclusive, caring and open environment that nurture each individual student to achieve their full potential. Applications are encouraged from candidates from a diverse background that can positively contribute to the future of our society.
This project is located at the Cardiff University School of Computer Science and Informatics, and the research theme is: T3 - novel mathematical, physical and computer science approaches
Eligibility
The scholarships are open to UK/home and international candidates. For more information on eligibility, please visit the UKRI CDT in Artificial Intelligence, Machine Learning & Advanced Computing website
Entry Requirements
A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Candidates should be interested in AI and big data challenges, and in the research theme - novel mathematical, physical and computer science approaches.
Applicants whose first language is not English must demonstrate their proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component. (https://www.cardiff.ac.uk/study/international/english-language-requirements)
Applications
Please visit the CDT website http://cdt-aimlac.org/ and follow the instructions.
Applicants should apply for postgraduate study via the Cardiff University webpage: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics,
Select the programme Doctor of Philosophy in Computer Science & Informatics with a start date of 1st October 2021, and upload these documents with your application:
• your CV
• a personal statement/covering letter
• two reference letters
• current academic transcripts
In the research proposal section of your application, please specify the project title and supervisors of this project. If you are applying for more than one project, please list the individual titles of the projects in the text box provided. In the funding section, please select ’I will be applying for a scholarship/grant’.
To complete your application please email a pdf(s) of your application to [Email Address Removed]
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