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.
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
WhiRL members have contributed three papers to this year’s ICML: Stabilising Experience Replay for Deep Multi−Agent Reinforcement Learning Programming with a... read more
Our paper Real−Time Resource Allocation for Tracking Systems was accepted for publication at UAI-2017. read more