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 happy about two full AAMAS papers with WhiRL members!“Deep Residual Reinforcement Learning”Shangtong Zhang, Wendelin Boehmer, Shimon Whitesonhttps://arxiv.org/abs/1905.01072“Maximizing... read more
We are very excited about two accepted ICLR 2020 papers and look forward to discussing our work in Ethiopia!“Optimistic... read more
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