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IJCAI Survey: Reinforcement Learning Informed by Natural Language

To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the compositional, relational, and hierarchical structure of... read more

Vacancy: PostDoc

Together with Katja Hofmann (Microsoft Cambridge), we are hiring a postdoc for a special joint position in WhiRL at... read more

ICML 2019

WhiRL has four accepted papers at ICML this year! Camera ready versions can be found here:“A Baseline for... read more

New blog post: Advice for short-term machine learning research projects

Tim Rocktäschel, Jakob Foerster and Greg Farquhar Every year we get contacted by students who wish to work on short-term... read more

Five papers accepted at ICML 2018

All our five submissions for ICML 2018 have just been accepted:   DiCE: The Infinitely Differentiable Monte Carlo Estimator Jakob Foerster, Gregory... read more

Video for AAAI-18 oral “Expected Policy Gradients” by K. Ciosek and S. Whiteson.

Our lab member Kamil Ciosek has published a video of his presentation of his recent paper  “Expected Policy Gradients”... read more

Paper accepted at ICLR 2018

Our paper “TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning” has been accepted at #ICLR2018 ! Congratulations to... read more

WhiRL members have two papers accepted at AAMAS 2018

We’re happy to announce that WhiRL members have two accepted papers at #AAMAS2018 this year.Learning with Opponent-Learning Awareness Jakob... read more

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