Iurii Kemaev

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 8

Top Topics

Scientific Discovery

Reinforcement Learning

Direct Policy Search

Top Venues

Publications

Matteo Hessel, Manuel Kroiss, Aidan Clark, Iurii Kemaev, John Quan, Thomas Keck, Fabio Viola, Hado van Hasselt
Podracer architectures for scalable Reinforcement Learning. CoRR (2021)
Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa
Return-based Scaling: Yet Another Normalisation Trick for Deep RL. CoRR (2021)
Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Baveja Singh
Discovering a set of policies for the worst case reward. CoRR (2021)
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Options via Meta-Learned Subgoals. CoRR (2021)
Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh
Discovering a set of policies for the worst case reward. ICLR (2021)
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Options via Meta-Learned Subgoals. NeurIPS (2021)
Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. ACML (2018)
Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. CoRR (2018)