Google research award for Catz Fellow

Google research award for Catz Fellow

Shimon Whiteson, Associate Professor, Fellow and Tutor in Computer Science, has been announced as a recipient for one of this year’s Google Research Awards. His proposal, on end to end deep model based reinforcement learning, has secured funding for tuition for a graduate student as well as access to work directly with Google’s researchers and engineers.

Shimon’s proposal was one of 876 that Google received on topics such as machine learning, machine perception, natural language processing, and security.

Commenting on his success, Shimon explains ‘Deep reinforcement learning has had some exciting successes in the past few years, but so far all those successes have been “model-free” i.e. they work without building an explicit model of the world, even though such a model has large potential advantages.  We have a hypothesis as to why model-based approaches to deep reinforcement learning are failing, and in this research we will build a new method that, if our hypothesis is correct, will enable model-based approaches to deep reinforcement learning to succeed.'