PhD Scholarship: Curriculum Learning for Reinforcement Learning Agents

University of Leeds - Computing

Name of School Contact: Matteo Leonetti 
Contact Details: Email:
                                Tel: +44(0)113 343 5792
School website:
How to apply:
Degree Level: Research Postgraduate  
Scholarship Type: International, Home/EU                    
Number available: 1
Funding Type: School of Computing

Applicants should read the information below for further details on the scholarship or visit the School web site given below.

Further Information:

Reinforcement learning agents, while carrying great potential in their ability to adapt to the environment, are usually limited by the amount of experience they can gather. While tasks are traditionally given, we consider the problem of generating tasks for the sole purpose of acquiring, efficiently, the knowledge necessary to face a later final task. The final task must be such that it is too complex to be learned directly by the agent in an acceptable amount of time. As a consequence, through curricula, we will further the reach of reinforcement learning agents.

The idea of accelerating learning through subsequent problems of increasing complexity is at the foundation of animal and human learning. We will study the problem as recently introduced, by myself and collaborators, in the context of reinforcement learning. We will focus, in particular, on the selection of appropriate tasks from a continuous task space, and the adaptation of the knowledge representation as tasks grow in complexity.

This is a machine learning project with large applicability to several areas of AI, including computer games, computer-human interaction, and robotics.

Financial Information:

This award will cover the cost of academic fees and provide a maintenance allowance of at least £14,296 per year for a maximum for 3 years, subject to satisfactory progress.  

Minimum Academic Requirements (if English is not your first language, then candidates must also meet the University’s English language requirements):

Applications are invited from candidates who have achieved or expecting a minimum of a UK upper second class (hons) degree or equivalent, in a field relevant to the project.

If English is not your first language, then candidates must also meet the University’s English language requirements full details can be found on the following link:

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