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.
Our lab member Kamil Ciosek has published a video of his presentation of his recent paper “Expected Policy Gradients”... read more
Our paper “TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning” has been accepted at #ICLR2018 ! Congratulations to... read more
We’re happy to announce that WhiRL members have two accepted papers at #AAMAS2018 this year.Learning with Opponent-Learning Awareness Jakob... read more
Wendelin Boehmer has joined WhiRL as a new postdoctoral researcher.read more
Our paper “Counterfactual Multi−Agent Policy Gradients” by Jakob Foerster‚ Gregory Farquhar‚ Triantafyllos Afouras‚ Nantas Nardelli and Shimon Whiteson has... read more
Whiteson Research Lab members have three papers accepted at AAAI-2018: Counterfactual Multi-Agent Policy GradientsJakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon WhitesonAlternating Optimisation and Quadrature... read more
Whiteson Research Lab members have three papers accepted at NIPS-2017: Utile Context Tree Weighting João Messias and Shimon Whiteson End-to-end Differentiable Proving Tim... read more