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Training Self-Driving Cars using Deep Reinforcement Learning

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

The pathway to make autonomous driving a truly ubiquitous technology is to ensure functional safety with the ability to effectively respond to unexpected events. This project puts forward the development of an autonomous system with capabilities to navigate in the absence of maps and explicit rules, relying - similarly to humans - on a comprehensive understanding of the environment, while following simple higher-level directions. It is expected that the Ph.D. candidate will design and develop an approach using the local scene captured from images and deep reinforcement learning for autonomous driving with a human in the loop. In addition, knowledge transfer will be exploited from the simulated environment to the real-world application to boost learning performance. A staged approach will be adopted: (i) utilising a simulated environment for training/testing; (ii) transferring the knowledge from the simulated task, and continuation of training in a real environment; (iii) instructing an autonomous vehicle through reinforcement.

Further information:

Funding Notes

This studentship provides a maintenance allowance (currently £14,777 per year) and covers tuition fees at the home/EU level. Applicants from outside the EU are welcome but they will need to pay the difference between the home/EU and international fee levels; that difference is currently £12,290/year.

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