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Steve Reeves

Peter Reutemann

Bill Rogers

John Rose

Stefan Rüger

Samuel Sarjant

Tony Smith

Lloyd A. Smith

Keith Soo

Simon Spacey

Robert Spence

Craig Taube-Schock

Claire Timpany

Phil Treweek

Emmanuel Turner

Mark Utting

Nicholas (Nic) Vanderschantz

Bronwyn Webster

Ian Witten

Shaoqun Wu

Xiaofeng Yu

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Samuel Sarjant (Dr)



Details

Research Interests

Sam has recently completed his PhD thesis entitled "Statistical relational reinforcement learning."

Statistical Relational Reinforcement Learning is the process of an agent (a computer-controlled entity, virtual or otherwise) learning how to solve a problem/s by exploring the problem domain and learning which actions to perform within the domain that will maximise the reward received for completing the problem. The domain may be constantly changing and non-deterministic, making this task difficult for the agent.

You can access a selection of my papers here

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