WhiRL is a machine learning research group in the Department of Computer Science at the University of Oxford that is focused on reinforcement learning, deep learning, and related topics, with applications in robotics, video games, and information retrieval.
We are excited about 8 accepted papers with WhiRL members, and look forward to discussing our work at... read more
To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the compositional, relational, and hierarchical structure of... read more
Together with Katja Hofmann (Microsoft Cambridge), we are hiring a postdoc for a special joint position in WhiRL at... read more
WhiRL has four accepted papers at ICML this year! Camera ready versions can be found here:“A Baseline for... read more
Tim Rocktäschel, Jakob Foerster and Greg Farquhar Every year we get contacted by students who wish to work on short-term... read more
All our five submissions for ICML 2018 have just been accepted: DiCE: The Infinitely Differentiable Monte Carlo Estimator Jakob Foerster, Gregory... read more
Our lab member Kamil Ciosek has published a video of his presentation of his recent paper “Expected Policy Gradients”... read more