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 pleased to announce four accepted papers to ICML:Growing Action SpacesGregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier,... read more
We are pleased to announce that “Multitask Soft Option Learning” is accepted to UAI 2020! Congratulations to the authors... read more
“Deep Residual Reinforcement Learning” received the best paper award at AAMAS 2020! Congratulations to the authors Shangtong Zhang, Wendelin... read more
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