Audrunas Gruslys

Research Scientist, DeepMind

Joined

October 2017

Audrunas Gruslys

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Research Scientist

DeepMind (google.com)

2015 – Present

PhD student

University of Cambridge (cam.ac.uk)

2010 – 2014

Undergraduate student

University of Cambridge (cam.ac.uk)

2006 – 2010

No relations added

Reinforcement Learning

2015 – 2017

Deep Learning

2015 – 2017

Quantile Credit Assignment
Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos
- ICML 2023 OralPoster
- Readers: Everyone
The Advantage Regret-Matching Actor-Critic
Audrunas Gruslys, Marc Lanctot, Remi Munos, Finbarr Timbers, Martin Schmid, Julien Perolet, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Deep Q-learning From Demonstrations
Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrunas Gruslys
- 2018 (modified: 16 Jul 2019)
- AAAI 2018
- Readers: Everyone
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone
Memory-Efficient Backpropagation Through Time
Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
- 2016 (modified: 11 Nov 2022)
- NIPS 2016
- Readers: Everyone