ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. - Iurii Kemaev; Daniil Polykovskiy; Dmitry P. Vetrov (ACML, 2018)

Discovering a set of policies for the worst case reward. - Tom Zahavy; André Barreto 001; Daniel J. Mankowitz; Shaobo Hou; Brendan O'Donoghue; Iurii Kemaev; Satinder Singh 001 (ICLR, 2021)

Discovery of Options via Meta-Learned Subgoals. - Vivek Veeriah; Tom Zahavy; Matteo Hessel; Zhongwen Xu; Junhyuk Oh; Iurii Kemaev; Hado van Hasselt; David Silver; Satinder Singh 001 (NeurIPS, 2021)

Podracer architectures for scalable Reinforcement Learning. - Matteo Hessel; Manuel Kroiss; Aidan Clark; Iurii Kemaev; John Quan; Thomas Keck; Fabio Viola; Hado van Hasselt (CoRR, 2021)

Return-based Scaling: Yet Another Normalisation Trick for Deep RL. - Tom Schaul; Georg Ostrovski; Iurii Kemaev; Diana Borsa (CoRR, 2021)

Scalable Meta-Learning via Mixed-Mode Differentiation. - Iurii Kemaev; Dan A. Calian; Luisa M. Zintgraf; Gregory Farquhar; Hado van Hasselt (CoRR, 2025)

DataRater: Meta-Learned Dataset Curation. - Dan A. Calian; Gregory Farquhar; Iurii Kemaev; Luisa M. Zintgraf; Matteo Hessel; Jeremy Shar; Junhyuk Oh; András György 001; Tom Schaul; Jeffrey Dean; Hado van Hasselt; David Silver (CoRR, 2025)