Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. - André Barreto 001; Diana Borsa; John Quan; Tom Schaul; David Silver; Matteo Hessel; Daniel J. Mankowitz; Augustin Zídek; Rémi Munos (ICML, 2018)

Bellrock: Anonymous Proximity Beacons From Personal Devices. - Augustin Zídek; Shyam A. Tailor; Robert Harle (PerCom, 2018)

Unicorn: Continual Learning with a Universal, Off-policy Agent. - Daniel J. Mankowitz; Augustin Zídek; André Barreto 001; Dan Horgan; Matteo Hessel; John Quan; Junhyuk Oh; Hado van Hasselt; David Silver; Tom Schaul (CoRR, 2018)

Kickstarting Deep Reinforcement Learning. - Simon Schmitt; Jonathan J. Hudson; Augustin Zídek; Simon Osindero; Carl Doersch; Wojciech M. Czarnecki; Joel Z. Leibo; Heinrich Küttler; Andrew Zisserman; Karen Simonyan; S. M. Ali Eslami (CoRR, 2018)

Improved protein structure prediction using potentials from deep learning. - Andrew W. Senior; Richard Evans 001; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Zídek; Alexander W. R. Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; et al. (Nat., 2020)

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. - Mihaly Varadi; Stephen Anyango; Mandar S. Deshpande; Sreenath Nair; Cindy Natassia; Galabina Yordanova; David Yuan; Oana Stroe; Gemma Wood; Agata Laydon; Augustin Zídek; Tim Green; et al. (Nucleic Acids Res., 2022)