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.

Latest News

27 Feb

4 Papers Accepted at ICLR 2021 and AAAI 2021

We are pleased to announce three accepted papers to ICLR and one paper at AAAI:ICLR 2021 : Transient Non-stationarity... read more

27 Feb

3 Papers Accepted at NeurIPS 2020

We are pleased to announce three accepted papers to NeurIPS:Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic... read more

08 Jun

4 Papers Accepted at ICML 2020

We are pleased to announce four accepted papers to ICML:Growing Action SpacesGregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier,... read more

17 May

1 Paper Accepted to UAI

We are pleased to announce that “Multitask Soft Option Learning” is accepted to UAI 2020! Congratulations to the authors... read more

17 May

AAMAS Best Paper Award

“Deep Residual Reinforcement Learning” received the best paper award at AAMAS 2020! Congratulations to the authors Shangtong Zhang, Wendelin... read more

15 Jan

2 Papers Accepted to AAMAS

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

22 Dec

2 papers accepted to ICLR

We are very excited about two accepted ICLR 2020 papers and look forward to discussing our work in Ethiopia!“Optimistic... read more

17 Sep

8 papers accepted to NeurIPS

We are excited about 8 accepted papers with WhiRL members, and look forward to discussing our work at... read more

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